US20140200713A1 - Operating a Mobile Robot - Google Patents

Abstract

A method of operating a mobile robot includes grasping a feature of a door of a doorway with an end effector of a manipulator arm mounted on the robot and driving the robot while grasping the door feature to move the door to an open position. The method also includes driving the robot to maneuver the robot to contact the door and chock the door in the open position, releasing the door feature from the end effector after chocking the door, and driving the robot through the doorway.

Description

CROSS REFERENCE TO RELATED APPLICATIONS
• This U.S. patent application is a continuation of, and claims priority under 35 U.S.C. §120 from, U.S. patent application Ser. No. 13/032,390, filed on Feb. 22, 2011, which claims priority under 35 U.S.C. §119(e) to U.S. Provisional Application 61/346,612, filed on May 20, 2010; U.S. Provisional Application 61/356,910, filed on Jun. 21, 2010; U.S. Provisional Application 61/428,717, filed on Dec. 30, 2010; U.S. Provisional Application 61/428,734, filed on Dec. 30, 2010; U.S. Provisional Application 61/428,759, filed on Dec. 30, 2010; and U.S. Provisional Application 61/429,863, filed on Jan. 5, 2011. The disclosures of these prior applications are considered part of the disclosure of this application and are hereby incorporated by reference in their entireties.
TECHNICAL FIELD
• This disclosure relates to mobile robots.
BACKGROUND
• A robot is generally an electro-mechanical machine guided by a computer or electronic programming. Mobile robots have the capability to move around in their environment and are not fixed to one physical location. An example of a mobile robot that is in common use today is an automated guided vehicle or automatic guided vehicle (AGV). An AGV is generally a mobile robot that follows markers or wires in the floor, or uses a vision system or lasers for navigation. Mobile robots can be found in industry, military and security environments. They also appear as consumer products, for entertainment or to perform certain tasks like vacuum cleaning and home assistance.
SUMMARY
• One aspect of the disclosure provides a method of operating a mobile robot to traverse a threshold includes detecting a threshold proximate the robot. The robot includes a holonomic drive system having first, second, and third drive elements configured to maneuver the robot omni-directionally. The method further includes moving the first drive element onto the threshold from a first side and moving the second drive element onto the threshold to place both the first and second drive elements on the threshold. The method includes moving the first drive element off a second side of the threshold, opposite to the first side of the threshold, and moving the third drive element onto the threshold, placing both the second and third drive elements on the threshold. The method includes moving both the second and third drive elements off the second side of the threshold.
• Implementations of the disclosure may include one or more of the following features. In some implementations, the method includes determining an elevation change associated with the threshold and continuing to traverse the threshold when the elevation change is within a threshold elevation range. The threshold elevation range may prevent high centering of the robot and/or is less than a radius of the drive elements. The method may include maneuvering the first and second drive elements to approach a first side of the threshold at least substantially equidistantly before moving the first drive element onto the threshold. Moreover, the method may include pivoting about the second drive element to move the first drive element onto the threshold. In some examples, the method includes holding the first drive element stationary while moving the second drive element onto the threshold to place both the first and second drive elements on the threshold. The method may include holding the second drive element stationary while moving the first drive element off the second side of the threshold. The method, in some examples includes continuing to pivot the robot about the second drive element after moving the first drive element off the second side of the threshold to move the third drive element onto the threshold. The method may include moving both the second and third drive elements off the second side of the threshold at substantially the same time. In some instances the method includes moving the first and second drive elements off the threshold at the same time, pulling the third drive element over the threshold.
• The holonomic drive system may include first, second, and third drive wheels. Each drive wheel is trilaterally spaced about a vertical center axis and has a drive direction perpendicular to a radial axis with respect to the vertical center axis. In some examples, the holonomic drive system includes first, second, and third drive balls, each drive ball trilaterally spaced about a vertical center axis. For instance, the holonomic drive system may include first, second, and third drive ball assemblies. Each drive ball assembly includes a drive ball, and at least one transmission roller in continuous contact with the respective drive ball, and a drive mechanism. The transmission roller actively rotates about a first axis and passively rotates about a second axis. The drive mechanism rotates the transmission roller to rotate the drive ball.
• In another aspect of the disclosure, a mobile robot includes a holonomic drive system having first, second, and third drive elements configured to maneuver the robot omni-directionally and a controller in communication with the drive system. Upon detecting a threshold proximate the robot, the controller issues commands to the drive system to move the first drive element onto the threshold from a first side, move the second drive element onto the threshold to place both the first and second drive elements on the threshold, move the first drive element off a second side of the threshold, opposite to the first side of the threshold, move the third drive element onto the threshold, placing both the second and third drive elements on the threshold, and move both the second and third drive elements off the second side of the threshold.
• In some implementations, the mobile robot includes a base supporting the drive system, a leg extending upward from the base and having a variable height, and a torso supported by the leg. The torso defines a shoulder having a bottom surface overhanging the base. A torso imaging sensor disposed on the bottom surface of the torso points downward along a forward drive direction of the drive system. The torso imaging sensor captures three-dimensional images of a scene about the robot. In some examples, the torso imaging sensor is recessed within a body of the torso while maintaining its downward field of view.
• The mobile robot may include a volumetric point cloud imaging device in communication with the controller and is capable of obtaining a point cloud from a volume of space adjacent the robot. The volumetric point cloud imaging device may scan side-to-side with respect to the forward drive direction to increase a lateral field of view of the volumetric point cloud imaging device. In some examples, the volumetric point cloud imaging device is positioned at a height of greater than 2 feet above the ground and directed to be capable of obtaining a point cloud from a volume of space that includes a floor plane in a direction of movement of the robot. The mobile robot may include a laser scanner in communication with the controller and having a field of view centered on the forward drive direction and substantially parallel to a work surface supporting the robot.
• The controller may determine an elevation change associated with the threshold based on a sensor signal of at least one sensor (e.g., a volumetric point cloud imaging device) in communication with the controller and issues a command to the drive system to continue to traverse the threshold when the elevation change is within a threshold elevation range. The threshold elevation range may prevent high centering of the robot. Moreover, the threshold elevation range may be less than a radius of the drive elements.
• In some implementations, the controller issues a command to the drive system to maneuver the first and second drive elements to approach a first side of the threshold at least substantially equidistantly before moving the first drive element onto the threshold. The controller may issue a command to the drive system to pivot the robot about the second drive element to move the first drive element onto the threshold. In some examples, the controller issues a command to the drive system to hold the first drive element stationary while moving the second drive element onto the threshold to place both the first and second drive elements on the threshold. Similarly, the controller may issue a command to the drive system to hold the second drive element stationary while moving the first drive element off the second side of the threshold.
• In some implementations, the controller issues a command to the drive system to continue to pivot the robot about the second drive element after moving the first drive element off the second side of the threshold to move the third drive element onto the threshold. The controller may issue a command to the drive system to move both the second and third drive elements off the second side of the threshold at substantially the same time. In some examples, the controller issues a command to the drive system to move the first and second drive elements off the threshold at the same time, pulling the third drive element over the threshold.
• The holonomic drive system may include first, second, and third drive wheels. Each drive wheel trilaterally spaced about a vertical center axis and has a drive direction perpendicular to a radial axis with respect to the vertical center axis. In some examples, the holonomic drive system includes first, second, and third drive balls. Each drive ball is trilaterally spaced about a vertical center axis.
• In some implementations, the holonomic drive system includes first, second, and third drive ball assemblies. Each drive ball assembly includes a drive ball, one or more transmission rollers in continuous contact with the respective drive ball, and a drive mechanism. The transmission roller actively rotates about a first axis and passively rotates about a second axis. The drive mechanism rotates the transmission roller to rotate the drive ball.
• In another aspect, a method of operating a mobile robot to open a door includes grasping a doorknob of the door with an end effector of a manipulator arm mounted on a body of the robot, disengaging the door knob, driving holonomically through a doorway of the door while continuing to grasp the doorknob, and releasing the doorknob after passing through the doorway.
• In some implementations the method includes altering a height of the manipulator arm to disengage the doorknob (e.g., for lever type doorknobs). The method may include altering a length of the manipulator arm while passing through the doorway. In some examples, the method includes sensing a person near the doorway, holding the door open to allow the person to pass through the doorway, detecting when the person has passed through the doorway, and releasing the doorknob after detection of the person having passed through the doorway.
• In some implementations, the robot drives holonomically using a holonomic drive system having first, second, and third drive wheels, each drive wheel trilaterally spaced about a vertical center axis of the robot and having a drive direction perpendicular to a radial axis with respect to the vertical center axis.
• In another aspect, a method of operating a mobile robot includes driving the robot holonomically along a forward drive direction using a holonomic drive system having first, second, and third drive elements configured to maneuver the robot omni-directionally. The forward drive direction is coincident with an angled bisector of an angle formed between the first drive element and the second drive element and the first drive element and the third drive element. The first drive element leads the second and third drive elements along the forward drive direction. The method includes accelerating the drive system while monitoring an inertial measurement unit of the drive system to maintain vertical stability of the robot and decelerating the drive system by applying a braking force to the second and third drive elements while allowing the first drive element to slip on a supporting surface of the robot along the forward drive direction.
• The holonomic drive system may include first, second, and third drive wheels. Each drive wheel trilaterally spaced about a vertical center axis and has a drive direction perpendicular to a radial axis with respect to the vertical center axis. In some examples, the holonomic drive system includes first, second, and third drive balls. Each drive ball is trilaterally spaced about a vertical center axis.
• In some implementations, the holonomic drive system includes first, second, and third drive ball assemblies. Each drive ball assembly includes a drive ball, one or more transmission rollers in continuous contact with the respective drive ball, and a drive mechanism. The transmission roller actively rotates about a first axis and passively rotates about a second axis. The drive mechanism rotates the transmission roller to rotate the drive ball.
• In another aspect, a method of operating a mobile robot to open a door includes grasping a doorknob of the door with an end effector of a manipulator arm mounted on a body of the robot, disengaging the door knob, driving holonomically through a doorway of the door while continuing to grasp the doorknob, and releasing the doorknob after passing through the doorway.
• In some implementations the method includes altering a height of the manipulator arm to disengage the doorknob (e.g., for lever type doorknobs). The method may include altering a length of the manipulator arm while passing through the doorway. In some examples, the method includes sensing a person near the doorway, holding the door open to allow the person to pass through the doorway, detecting when the person has passed through the doorway, and releasing the doorknob after detection of the person having passed through the doorway.
• In some implementations, the robot drives holonomically using a holonomic drive system having first, second, and third drive wheels, each drive wheel trilaterally spaced about a vertical center axis of the robot and having a drive direction perpendicular to a radial axis with respect to the vertical center axis.
• The details of one or more implementations of the disclosure are set forth in the accompanying drawings and the description below. Other aspects, features, and advantages will be apparent from the description and drawings, and from the claims.
DESCRIPTION OF DRAWINGS
• FIG. 1 is a perspective view of an exemplary mobile human interface robot.
• FIG. 2 is a schematic view of an exemplary mobile human interface robot.
• FIG. 3 is an elevated perspective view of an exemplary mobile human interface robot.
• FIG. 4A is a front perspective view of an exemplary base for a mobile human interface robot.
• FIG. 4B is a rear perspective view of the base shown inFIG. 4A.
• FIG. 4C is a top view of the base shown inFIG. 4A.
• FIG. 5A is a front schematic view of an exemplary base for a mobile human interface robot.
• FIG. 5B is a top schematic view of an exemplary base for a mobile human interface robot.
• FIG. 5C is a front view of an exemplary holonomic wheel for a mobile human interface robot.
• FIG. 5D is a side view of the wheel shown inFIG. 5C.
• FIG. 5E is a top perspective view of an exemplary holonomic drive system for a mobile human interface robot.
• FIG. 5F is a side perspective view of an exemplary roller assembly for a holonomic drive system.
• FIG. 5G is a perspective view of an exemplary transmission roller of the roller assembly shown inFIG. 5F.
• FIG. 5H is a cross-sectional view of the transmission roller shown inFIG. 5G.
• FIG. 5I is a cross-sectional view of the transmission roller shown inFIG. 5G.
• FIG. 5J is a cross-sectional view of the transmission roller in contact with a drive ball.
• FIG. 6 is a front perspective view of an exemplary torso for a mobile human interface robot.
• FIG. 7 is a front perspective view of an exemplary neck for a mobile human interface robot.
• FIGS. 8A-8G are schematic views of exemplary circuitry for a mobile human interface robot.
• FIG. 9 is a perspective view of an exemplary mobile human interface robot having detachable web pads.
• FIGS. 10A-10E perspective views of people interacting with an exemplary mobile human interface robot.
• FIG. 11 provides an exemplary telephony schematic for initiating and conducting communication with a mobile human interface robot.
• FIG. 12 is a schematic view of an exemplary mobile human interface robot.
• FIG. 13 is a perspective view of an exemplary mobile human interface robot having multiple sensors pointed toward the ground.
• FIG. 14 is a schematic view of an exemplary control system executed by a controller of a mobile human interface robot.
• FIG. 15 is a schematic view of an exemplary arrangement of operations for maneuvering a mobile human interface robot to negotiate a threshold on the ground.
• FIG. 16 is a perspective view of an exemplary mobile human interface robot having a downward pointed sensor for detecting obstacles proximate the robot.
• FIG. 17A is a schematic view of an exemplary mobile human interface robot approaching a threshold.
• FIG. 17B is a schematic view of an exemplary mobile human interface robot moving first and second drive wheels toward a threshold.
• FIG. 17C is a schematic view of an exemplary mobile human interface robot moving a first drive wheel onto a threshold.
• FIG. 17D is a schematic view of an exemplary mobile human interface robot moving a second drive wheel onto a threshold, while maintaining a first drive wheel on the threshold.
• FIG. 17E is a schematic view of an exemplary mobile human interface robot moving a first drive wheel off of a threshold, while maintaining a second drive wheel on the threshold.
• FIG. 17F is a schematic view of an exemplary mobile human interface robot moving a third drive wheel onto a threshold, while maintaining a second drive wheel on the threshold.
• FIG. 17G is a schematic view of an exemplary mobile human interface robot moving second and third drive wheels off of a threshold.
• FIG. 18 is a perspective view of an exemplary mobile human interface robot with a manipulator mounted on a torso of the robot.
• FIG. 19A is a perspective view of an exemplary mobile human interface robot with a manipulator approaching a doorknob.
• FIG. 19B is a perspective view of an exemplary mobile human interface robot with a manipulator grasping a doorknob and opening a corresponding door.
• FIG. 19C is a perspective view of an exemplary mobile human interface robot with a manipulator releasing a doorknob and moving through a doorway of a corresponding open door.
• FIG. 19D is a perspective view of an exemplary mobile human interface robot with a manipulator holding a door open for a person.
• FIG. 20 is a perspective view of an exemplary mobile human interface robot with an arm supporting a head away from a torso of the robot.
• Like reference symbols in the various drawings indicate like elements.
DETAILED DESCRIPTION
• Mobile robots can interact or interface with humans to provide a number of services that range from home assistance to commercial assistance and more. In the example of home assistance, a mobile robot can assist elderly people with everyday tasks, including, but not limited to, maintaining a medication regime, mobility assistance, communication assistance (e.g., video conferencing, telecommunications, Internet access, etc.), home or site monitoring (inside and/or outside), person monitoring, and/or providing a personal emergency response system (PERS). For commercial assistance, the mobile robot can provide videoconferencing (e.g., in a hospital setting), a point of sale terminal, interactive information/marketing terminal, etc.
• Referring toFIGS. 1-2, in some implementations, amobile robot100 includes a robot body110 (or chassis) that defines a forward drive direction F. Therobot100 also includes adrive system200, aninterfacing module300, and asensor system400, each supported by therobot body110 and in communication with acontroller500 that coordinates operation and movement of therobot100. A power source105 (e.g., battery or batteries) can be carried by therobot body110 and in electrical communication with, and deliver power to, each of these components, as necessary. For example, thecontroller500 may include a computer capable of >1000 MIPS (million instructions per second) and the power source1058 provides a battery sufficient to power the computer for more than three hours.
• Therobot body110, in the examples shown, includes abase120, at least oneleg130 extending upwardly from thebase120, and atorso140 supported by the at least oneleg130. The base120 may support at least portions of thedrive system200. Therobot body110 also includes aneck150 supported by thetorso140. Theneck150 supports ahead160, which supports at least a portion of theinterfacing module300. Thebase120 includes enough weight (e.g., by supporting the power source105 (batteries) to maintain a low center of gravity CG_Bof thebase120 and a low overall center of gravity CG_Rof therobot100 for maintaining mechanical stability.
• Referring to FIGS.3 and4A-4C, in some implementations, thebase120 defines a trilaterally symmetric shape (e.g., a triangular shape from the top view). For example, thebase120 may include abase chassis122 that supports abase body124 having first, second, and thirdbase body portions124a,124b,124ccorresponding to each leg of the trilaterally shaped base120 (see e.g.,FIG. 4A). Eachbase body portion124a,124b,124ccan be movably supported by thebase chassis122 so as to move independently with respect to thebase chassis122 in response to contact with an object. The trilaterally symmetric shape of thebase120 allows bump detection 360° around therobot100. Eachbase body portion124a,124b,124ccan have an associated contact sensor e.g., capacitive sensor, read switch, etc.) that detects movement of the correspondingbase body portion124a,124b,124cwith respect to thebase chassis122.
• In some implementations, thedrive system200 provides omni-directional and/or holonomic motion control of therobot100. As used herein the term “omni-directional” refers to the ability to move in substantially any planar direction, i.e., side-to-side (lateral), forward/back, and rotational. These directions are generally referred to herein as x, y, and Oz, respectively. Furthermore, the term “holonomic” is used in a manner substantially consistent with the literature use of the term and refers to the ability to move in a planar direction with three planar degrees of freedom, i.e., two translations and one rotation. Hence, a holonomic robot has the ability to move in a planar direction at a velocity made up of substantially any proportion of the three planar velocities (forward/back, lateral, and rotational), as well as the ability to change these proportions in a substantially continuous manner.
• Therobot100 can operate in human environments (e.g., environments typically designed for bipedal, walking occupants) using wheeled mobility. In some implementations, thedrive system200 includes first, second, andthird drive wheels210a,210b,210cequally spaced (i.e., trilaterally symmetric) about the vertical axis Z (e.g., 120 degrees apart); however, other arrangements are possible as well. Referring toFIGS. 5A and 5B, thedrive wheels210a,210b,210cmay define a transverse arcuate rolling surface (i.e., a curved profile in a direction transverse or perpendicular to the rolling direction D_R), which may aid maneuverability of theholonomic drive system200. Eachdrive wheel210a,210b,210cis coupled to arespective drive motor220a,220b,220cthat can drive thedrive wheel210a,210b,210cin forward and/or reverse directions independently of theother drive motors220a,220b,220c. Each drive motor220a-ccan have a respective encoder212 (FIG. 8C), which provides wheel rotation feedback to thecontroller500. In some examples, each drivewheels210a,210b,210cis mounted on or near one of the three points of an equilateral triangle and having a drive direction (forward and reverse directions) that is perpendicular to an angle bisector of the respective triangle end. Driving the trilaterally symmetricholonomic base120 with a forward driving direction F, allows therobot100 to transition into non forward drive directions for autonomous escape from confinement or clutter and then rotating and/or translating to drive along the forward drive direction F after the escape has been resolved.
• Referring toFIGS. 5C and 5D, in some implementations, eachdrive wheel210 includes inboard andoutboard rows232,234 ofrollers230, each have a rolling direction D_rperpendicular to the rolling direction D_Rof thedrive wheel210. Therows232,234 ofrollers230 can be staggered (e.g., such that oneroller230 of theinboard row232 is positioned equally between twoadjacent rollers230 of theoutboard row234. Therollers230 provide infinite slip perpendicular to the drive direction thedrive wheel210. Therollers230 define an arcuate (e.g., convex)outer surface235 perpendicular to their rolling directions D_r, such that together therollers230 define the circular or substantially circular perimeter of thedrive wheel210. The profile of therollers230 affects the overall profile of thedrive wheel210. For example, therollers230 may define arcuate outer roller surfaces235 that together define a scalloped rolling surface of the drive wheel210 (e.g., as treads for traction). However, configuring therollers230 to have contours that define a circular overall rolling surface of thedrive wheel210 allows therobot100 to travel smoothly on a flat surface instead of vibrating vertically with a wheel tread. When approaching an object at an angle, thestaggered rows232,234 of rollers230 (with radius r) can be used as treads to climb objects as tall or almost as tall as a wheel radius R of thedrive wheel210.
• Referring toFIGS. 5E-5J, in some implementations, theholonomic drive system200 includes threeroller assemblies250a,250b,250cmounted to abase plate256. Eachroller assembly250a,250b,250chas a respective drive ball258a,258b,258c. Theroller assemblies250a,250b,250callow for movement in any direction.
• FIG. 5F provides a perspective view of anexemplary roller assembly250. Eachassembly250 may include a pair oftransmission rollers260 for driving adrive ball258 as well as aretainer ring262 and a plurality ofbushings264 that allow thedrive ball258 to rotate while preventing movement in the Z direction. Thetransmission rollers260 are coupled to amotor assembly266, which includes anoutput pulley268 attached to amotor270. Adrive belt274 couples theoutput pulley268 to a pair of ball pulleys272 attached to atransmission bracket276. Themotor assembly266 receives output signals from thecontroller500 that energizes themotor270 and rotates theoutput pulley268.
• Rotation of theoutput pulley268 rotates the ball pulleys272 causing thetransmission rollers260 to rotate and spin thedrive ball258 through frictional forces. Thetransmission rollers260 may remain in continuous contact with thedrive ball258. Spinning thedrive ball258 moves therobot100. Thebracket276 allows thetransmission rollers260 to freely spin and allow orthogonal directional passive movement when one of theother roller assemblies260 is driving and moving therobot100.
• FIGS. 5G-5I illustrate anexemplary transmission roller260. Eachtransmission roller260 may include a pair ofaddendum rollers278 attached to aprimary roller280. Theaddendum rollers278 may be attached toextension plates282 of thebracket276 bypins284. Theextension plates282 of thebracket276 may extend into aninner bore286 of theprimary roller278 and be attached within theroller278 byfasteners288. Thetransmission roller260 may havebearings290 that allow theprimary roller280 to roll while thebracket272 is stationary.
• As shown inFIG. 5J, theaddendum rollers278 may extend beyond anouter surface292 of thebracket276 so that theprimary rollers278 are in contact with thedrive ball258. Thebracket276 may define a pair ofgrooves294 having a radius that provides a sufficient clearance between thedrive ball258 and the bracketouter surface292. Alternatively, thegrooves294 may have a radius so that theaddendum rollers278 may be placed at or below theouter bracket surface290 and still not have interference between thebracket276 and thedrive ball258.
• Referring again toFIG. 5G, thetransmission roller260 can be rotated as indicated by the arrows. Either theprimary roller280, or one of theaddendum rollers278, may be in continuous contact with the drive ball258 (not shown inFIG. 5G). Consequently, thetransmission rollers260 can be in continuous contact with thedrive ball258. In the example shown, theroller assemblies250 fail to incur impact forces or phase changing wobble issues. Moreover, a relativelycompliant drive ball258 may be used to further reduce impact forces.
• In the examples shown inFIGS. 3-5B, thefirst drive wheel210ais arranged as a leading drive wheel along the forward drive direction F with the remaining twodrive wheels210b,210ctrailing behind. In this arrangement, to drive forward, thecontroller500 may issue a drive command that causes the second andthird drive wheels210b,210cto drive in a forward rolling direction at an equal rate while thefirst drive wheel210aslips along the forward drive direction F. Moreover, this drive wheel arrangement allows therobot100 to stop short (e.g., incur a rapid negative acceleration against the forward drive direction F). This is due to the natural dynamic instability of the three wheeled design. If the forward drive direction F were along an angle bisector between two forward drive wheels, stopping short would create a torque that would force therobot100 to fall, pivoting over its two “front” wheels. Instead, travelling with onedrive wheel210aforward naturally supports or prevents therobot100 from toppling over forward, if there is need to come to a quick stop. When accelerating from a stop, however, thecontroller500 may take into account a moment of inertia I of therobot100 from its overall center of gravity CG_R.
• In some implementations of thedrive system200, eachdrive wheel210a,210b.210 has a rolling direction D_Rradially aligned with a vertical axis Z, which is orthogonal to X and Y axes of therobot100. Thefirst drive wheel210acan be arranged as a leading drive wheel along the forward drive direction F with the remaining twodrive wheels210b,210ctrailing behind. In this arrangement, to drive forward, thecontroller500 may issue a drive command that causes thefirst drive wheel210ato drive in a forward rolling direction and the second andthird drive wheels210b,210cto drive at an equal rate as thefirst drive wheel210a, but in a reverse direction.
• In other implementations, thedrive system200 can be arranged to have the first andsecond drive wheels210a,210bpositioned such that an angle bisector of an angle between the twodrive wheels210a,210bis aligned with the forward drive direction F of therobot100. In this arrangement, to drive forward, thecontroller500 may issue a drive command that causes the first andsecond drive wheels210a,210bto drive in a forward rolling direction and an equal rate, while thethird drive wheel210cdrives in a reverse direction or remains idle and is dragged behind the first andsecond drive wheels210a,210b. To turn left or right while driving forward, thecontroller500 may issue a command that causes the corresponding first orsecond drive wheel210a,210bto drive at relatively quicker/slower rate.Other drive system200 arrangements can be used as well. Thedrive wheels210a,210b,210cmay define a cylindrical, circular, elliptical, or polygonal profile.
• Referring again toFIGS. 1-3, thebase120 supports at least oneleg130 extending upward in the Z direction from thebase120. The leg(s)130 may be configured to have a variable height for raising and lowering thetorso140 with respect to thebase120. In some implementations, eachleg130 includes first andsecond leg portions132,134 that move with respect to each other (e.g., telescopic, linear, and/or angular movement). Rather than having extrusions of successively smaller diameter telescopically moving in and out of each other and out of a relatively larger base extrusion, thesecond leg portion134, in the examples shown, moves telescopically over thefirst leg portion132, thus allowing other components to be placed along thesecond leg portion134 and potentially move with thesecond leg portion134 to a relatively close proximity of thebase120. Theleg130 may include an actuator assembly136 (FIG. 10C) for moving thesecond leg portion134 with respect to thefirst leg portion132. The actuator assembly136 may include amotor driver138ain communication with alift motor138band an encoder138c, which provides position feedback to thecontroller500.
• Generally, telescopic arrangements include successively smaller diameter extrusions telescopically moving up and out of relatively larger extrusions at the base120 in order to keep a center of gravity CG_Lof theentire leg130 as low as possible. Moreover, stronger and/or larger components can be placed at the bottom to deal with the greater torques that will be experienced at the base120 when theleg130 is fully extended. This approach, however, offers two problems. First, when the relatively smaller components are placed at the top of theleg130, any rain, dust, or other particulate will tend to run or fall down the extrusions, infiltrating a space between the extrusions, thus obstructing nesting of the extrusions. This creates a very difficult sealing problem while still trying to maintain full mobility/articulation of theleg130. Second, it may be desirable to mount payloads or accessories on therobot100. One common place to mount accessories is at the top of thetorso140. If thesecond leg portion134 moves telescopically in and out of the first leg portion, accessories and components could only be mounted above the entiresecond leg portion134, if they need to move with thetorso140. Otherwise, any components mounted on thesecond leg portion134 would limit the telescopic movement of theleg130.
• By having thesecond leg portion134 move telescopically over thefirst leg portion132, thesecond leg portion134 provides additional payload attachment points that can move vertically with respect to thebase120. This type of arrangement causes water or airborne particulate to run down thetorso140 on the outside of everyleg portion132,134 (e.g., extrusion) without entering a space between theleg portions132,134. This greatly simplifies sealing any joints of theleg130. Moreover, payload/accessory mounting features of thetorso140 and/orsecond leg portion134 are always exposed and available no matter how theleg130 is extended.
• Referring toFIGS. 3 and 6, the leg(s)130 support thetorso140, which may have ashoulder142 extending over and above thebase120. In the example shown, thetorso140 has a downward facing or bottom surface144 (e.g., toward the base) forming at least part of theshoulder142 and an opposite upward facing ortop surface146, with aside surface148 extending therebetween. Thetorso140 may define various shapes or geometries, such as a circular or an elliptical shape having acentral portion141 supported by the leg(s)130 and a peripheralfree portion143 that extends laterally beyond a lateral extent of the leg(s)130, thus providing an overhanging portion that defines the downward facingsurface144. In some examples, thetorso140 defines a polygonal or other complex shape that defines a shoulder, which provides an overhanging portion that extends beyond the leg(s)130 over thebase120.
• Therobot100 may include one or more accessory ports170 (e.g., mechanical and/or electrical interconnect points) for receiving payloads. Theaccessory ports170 can be located so that received payloads do not occlude or obstruct sensors of the sensor system400 (e.g., on the bottom and/ortop surfaces144,146 of thetorso140, etc.). In some implementations, as shown inFIG. 6, thetorso140 includes one or moreaccessory ports170 on arearward portion149 of thetorso140 for receiving a payload in thebasket340, for example, and so as not to obstruct sensors on aforward portion147 of thetorso140 or other portions of therobot body110.
• Referring again toFIGS. 1-3 and7, thetorso140 supports theneck150, which provides panning and tilting of thehead160 with respect to thetorso140. In the examples shown, theneck150 includes arotator152 and atilter154. Therotator152 may provide a range of angular movement θ_R(e.g., about the Z axis) of between about 90° and about 360°. Other ranges are possible as well. Moreover, in some examples, therotator152 includes electrical connectors or contacts that allow continuous 360° rotation of thehead150 with respect to thetorso140 in an unlimited number of rotations while maintaining electrical communication between thehead150 and the remainder of therobot100. Thetilter154 may include the same or similar electrical connectors or contacts allow rotation of thehead150 with respect to thetorso140 while maintaining electrical communication between thehead150 and the remainder of therobot100. Therotator152 may include arotator motor151 coupled to or engaging a ring153 (e.g., a toothed ring rack). Thetilter154 may move the head at an angle θ_T(e.g., about the Y axis) with respect to thetorso140 independently of therotator152. In some examples that tilter154 includes atilter motor155, which moves thehead150 between an angle θ_Tof ±90° with respect to Z-axis. Other ranges are possible as well, such as ±45°, etc. Therobot100 may be configured so that the leg(s)130, thetorso140, theneck150, and thehead160 stay within a perimeter of thebase120 for maintaining stable mobility of therobot100. In the exemplary circuit schematic shown inFIG. 10F, theneck150 includes apan-tilt assembly151 that includes therotator152 and atilter154 along withcorresponding motor drivers156a,156bandencoders158a,158b.
• Thehead160 may be sensitive to contact or touching by a user, so as to receive touch commands from the user. For example, when the user pulls thehead160 forward, thehead160 tilts forward with passive resistance and then holds the position. More over, if the user pushes/pulls thehead160 vertically downward, thetorso140 may lower (via a reduction in length of the leg130) to lower thehead160. Thehead160 and/orneck150 may include strain gauges and/or contact sensors165 (FIG. 7) that sense user contact or manipulation.
• FIGS. 8A-8G provide exemplary schematics of circuitry for therobot100.FIGS. 8A-8C provide exemplary schematics of circuitry for thebase120, which may house the proximity sensors, such as thesonar proximity sensors410 and thecliff proximity sensors420,contact sensors430, thelaser scanner440, thesonar scanner460, and thedrive system200. The base120 may also house thecontroller500, thepower source105, and the leg actuator assembly136. Thetorso140 may house amicrocontroller145, the microphone(s)330, the speaker(s)340, the scanning 3-D image sensor450a, and a torsotouch sensor system480, which allows thecontroller500 to receive and respond to user contact or touches (e.g., as by moving thetorso140 with respect to thebase120, panning and/or tilting theneck150, and/or issuing commands to thedrive system200 in response thereto). Theneck150 may house apan-tilt assembly151 that may include apan motor152 having acorresponding motor driver156aandencoder138a, and atilt motor154152 having acorresponding motor driver156bandencoder138b. Thehead160 may house one ormore web pads310 and acamera320.
• With reference toFIGS. 1-3 and9, in some implementations, thehead160 supports one or more portions of theinterfacing module300. Thehead160 may include adock302 for releasably receiving one ormore computing tablets310, also referred to as a web pad or a tablet PC, each of which may have atouch screen312. Theweb pad310 may be oriented forward, rearward or upward. In some implementations,web pad310 includes a touch screen, optional I/O (e.g., buttons and/or connectors, such as micro-USB, etc.) a processor, and memory in communication with the processor. Anexemplary web pad310 includes the Apple iPad is by Apple, Inc. In some examples, the web pad and 10 functions as thecontroller500 or assist thecontroller500 and controlling therobot100. In some examples, thedock302 includes afirst computing tablet310afixedly attached thereto (e.g., a wired interface for data transfer at a relatively higher bandwidth, such as a gigabit rate) and asecond computing tablet310bremovably connected thereto. Thesecond web pad310bmay be received over thefirst web pad310aas shown inFIG. 9, or thesecond web pad310bmay be received on an opposite facing side or other side of thehead160 with respect to thefirst web pad310a. In additional examples, thehead160 supports asingle web pad310, which may be either fixed or removably attached thereto. Thetouch screen312 may detected, monitor, and/or reproduce points of user touching thereon for receiving user inputs and providing a graphical user interface that is touch interactive. In some examples, theweb pad310 includes a touch screen caller that allows the user to find it when it has been removed from therobot100.
• In some implementations, therobot100 includes multipleweb pad docks302 on one or more portions of therobot body110. In the example shown inFIG. 9, therobot100 includes aweb pad dock302 optionally disposed on theleg130 and/or thetorso140. This allows the user to dock aweb pad310 at different heights on therobot100, for example, to accommodate users of different height, capture video using a camera of theweb pad310 in different vantage points, and/or to receivemultiple web pads310 on therobot100.
• Theinterfacing module300 may include acamera320 disposed on the head160 (see e.g.,FIG. 2), which can be used to capture video from elevated vantage point of the head160 (e.g., for videoconferencing). In the example shown inFIG. 3, thecamera320 is disposed on theneck150. In some examples, thecamera320 is operated only when theweb pad310,310ais detached or undocked from thehead160. When theweb pad310,310ais attached or docked on thehead160 in the dock302 (and optionally covering the camera320), therobot100 may use a camera of theweb pad310afor capturing video. In such instances, thecamera320 may be disposed behind the dockedweb pad310 and enters an active state when theweb pad310 is detached or undocked from thehead160 and an inactive state when theweb pad310 is attached or docked on thehead160.
• Therobot100 can provide videoconferencing (e.g., at 24 fps) through the interface module300 (e.g., using aweb pad310, thecamera320, themicrophones320, and/or the speakers340). The videoconferencing can be multiparty. Therobot100 can provide eye contact between both parties of the videoconferencing by maneuvering thehead160 to face the user. Moreover, therobot100 can have a gaze angle of <5 degrees (e.g., an angle away from an axis normal to the forward face of the head160). At least one 3-D image sensor450 and/or thecamera320 on therobot100 can capture life size images including body language. Thecontroller500 can synchronize audio and video (e.g., with the difference of <50 ms). In the example shown inFIGS. 10A-10E,robot100 can provide videoconferencing for people standing or sitting by adjusting the height of theweb pad310 on thehead160 and/or the camera320 (by raising or lowering the torso140) and/or panning and/or tilting thehead160. Thecamera320 may be movable within at least one degree of freedom separately from theweb pad310. In some examples, thecamera320 has an objective lens positioned more than 3 feet from the ground, but no more than 10 percent of the web pad height from a top edge of a display area of theweb pad310. Moreover, therobot100 can zoom thecamera320 to obtain close-up pictures or video about therobot100. Thehead160 may include one ormore speakers340 so as to have sound emanate from thehead160 near theweb pad310 displaying the videoconferencing.
• In some examples, therobot100 can receive user inputs into the web pad310 (e.g., via a touch screen), as shown inFIG. 10E. In some implementations, theweb pad310 is a display or monitor, while in other implementations theweb pad310 is a tablet computer. Theweb pad310 can have easy and intuitive controls, such as a touch screen, providing high interactivity. Theweb pad310 may have a monitor display312 (e.g., touch screen) having a display area of 150 square inches or greater movable with at least one degree of freedom.
• Therobot100 can provide EMR integration, in some examples, by providing video conferencing between a doctor and patient and/or other doctors or nurses. Therobot100 may include pass-through consultation instruments. For example, therobot100 may include a stethoscope configured to pass listening to the videoconferencing user (e.g., a doctor). In other examples, the robot includesconnectors170 that allow direct connection to Class II medical devices, such as electronic stethoscopes, otoscopes and ultrasound, to transmit medical data to a remote user (physician).
• In the example shown inFIG. 10B, a user may remove theweb pad310 from theweb pad dock302 on thehead160 for remote operation of therobot100, videoconferencing (e.g., using a camera and microphone of the web pad310), and/or usage of software applications on theweb pad310. Therobot100 may include first andsecond cameras320a,320bon thehead160 to obtain different vantage points for videoconferencing, navigation, etc., while theweb pad310 is detached from theweb pad dock302.
• Interactive applications executable on thecontroller500 and/or in communication with thecontroller500 may require more than one display on therobot100.Multiple web pads310 associated with therobot100 can provide different combinations of “FaceTime”. Telestration. HD look at this-cam (e.g., forweb pads310 having built in cameras), can act as a remote operator control unit (OCU) for controlling therobot100 remotely, and/or provide a local user interface pad.
• In some implementations, therobot100 includes a mediating security device350 (FIG. 9), also referred to as a bridge, for allowing communication between aweb pad310 and the controller500 (and/or other components of the robot100). For example, thebridge350 may convert communications of theweb pad310 from a web pad communication protocol to a robot communication protocol (e.g., Ethernet having a gigabit capacity). Thebridge350 may authenticate theweb pad310 and provided communication conversion between theweb pad310 and thecontroller500. In some examples, thebridge350 includes an authorization chip which authorizes/validates any communication traffic between theweb pad310 and therobot100. Thebridge350 may notify thecontroller500 when it has checked an authorizedweb pad310 trying to communicate with therobot100. Moreover, after authorization, thebridge350 notifies theweb pad310 of the communication authorization. Thebridge350 may be disposed on theneck150 or head (as shown inFIGS. 2 and 3) or elsewhere on therobot100.
• The Session Initiation Protocol (SIP) is an IETF-defined signaling protocol, widely used for controlling multimedia communication sessions such as voice and video calls over Internet Protocol (IP). The protocol can be used for creating, modifying and terminating two-party (unicast) or multiparty (multicast) sessions including one or several media streams. The modification can involve changing addresses or ports, inviting more participants, and adding or deleting media streams. Other feasible application examples include video conferencing, streaming multimedia distribution, instant messaging, presence information, file transfer, etc. Voice over Internet Protocol (Voice over IP, VoIP) is part of a family of methodologies, communication protocols, and transmission technologies for delivery of voice communications and multimedia sessions over Internet Protocol (IP) networks, such as the Internet. Other terms frequently encountered and often used synonymously with VoIP are IP telephony, Internet telephony, voice over broadband (VoBB), broadband telephony, and broadband phone.
• FIG. 11 provides a telephony example that includes interaction with thebridge350 for initiating and conducting communication through therobot100. An SIP of Phone A places a call with the SIP application server. The SIP invokes a dial function of the VoIP, which causes a HTTP post request to be sent to a VoIP web server. The HTTP Post request may behave like a callback function. The SIP application server sends a ringing to phone A, indicating that the call has been initiated. A VoIP server initiates a call via a PSTN to a callback number contained in the HTTP post request. The callback number terminates on a SIP DID provider which is configured to route calls back to the SIP application server. The SIP application server matches an incoming call with the original call of phone A and answers both calls with an OK response. A media session is established between phone A and the SIP DID provider. Phone A may hear an artificial ring generated by the VoIP. Once the VoIP has verified that the callback leg has been answered, it initiates the PSTN call to the destination, such as the robot100 (via the bridge350). Therobot100 answers the call and the VoIP server bridges the media from the SIP DID provider with the media from therobot100.
• Referring again toFIG. 6, theinterfacing module300 may include a microphone330 (e.g., or micro-phone array) for receiving sound inputs and one ormore speakers330 disposed on therobot body110 for delivering sound outputs. Themicrophone330 and the speaker(s)340 may each communicate with thecontroller500. In some examples, theinterfacing module300 includes a basket360, which may be configured to hold brochures, emergency information, household items, and other items.
• Referring toFIGS. 1-4C,12 and13, to achieve reliable and robust autonomous movement, thesensor system400 may include several different types of sensors which can be used in conjunction with one another to create a perception of the robot's environment sufficient to allow therobot100 to make intelligent decisions about actions to take in that environment. Thesensor system400 may include one or more types of sensors supported by therobot body110, which may include obstacle detection obstacle avoidance (ODOA) sensors, communication sensors, navigation sensors, etc. For example, these sensors may include, but not limited to, proximity sensors, contact sensors, three-dimensional (3D) imaging/depth map sensors, a camera (e.g., visible light and/or infrared camera), sonar, radar, LIDAR (Light Detection And Ranging, which can entail optical remote sensing that measures properties of scattered light to find range and/or other information of a distant target), LADAR (Laser Detection and Ranging), etc. In some implementations, thesensor system400 includes ranging sonar sensors410 (e.g., nine about a perimeter of the base120),proximity cliff detectors420,contact sensors430, alaser scanner440, one or more 3-D imaging/depth sensors450, and animaging sonar460.
• There are several challenges involved in placing sensors on a robotic platform. First, the sensors need to be placed such that they have maximum coverage of areas of interest around therobot100. Second, the sensors may need to be placed in such a way that therobot100 itself causes an absolute minimum of occlusion to the sensors; in essence, the sensors cannot be placed such that they are “blinded” by the robot itself. Third, the placement and mounting of the sensors should not be intrusive to the rest of the industrial design of the platform. In terms of aesthetics, it can be assumed that a robot with sensors mounted inconspicuously is more “attractive” than otherwise. In terms of utility, sensors should be mounted in a manner so as not to interfere with normal robot operation (snagging on obstacles, etc.).
• In some implementations, thesensor system400 includes a set or an array ofproximity sensors410,420 in communication with thecontroller500 and arranged in one or more zones or portions of the robot100 (e.g., disposed on or near thebase body portion124a,124b,124cof the robot body110) for detecting any nearby or intruding obstacles. Theproximity sensors410,420 may be converging infrared (IR) emitter-sensor elements, sonar sensors, ultrasonic sensors, and/or imaging sensors (e.g., 3D depth map image sensors) that provide a signal to thecontroller500 when an object is within a given range of therobot100.
• In the example shown inFIGS. 4A-4C, therobot100 includes an array of sonar-type proximity sensors410 disposed (e.g., substantially equidistant) around thebase body120 and arranged with an upward field of view. First, second, and thirdsonar proximity sensors410a,410b,410care disposed on or near the first (forward)base body portion124a, with at least one of the sonar proximity sensors near a radiallyouter-most edge125aof thefirst base body124a. Fourth, fifth, and sixthsonar proximity sensors410d,410e,410fare disposed on or near the second (right)base body portion124b, with at least one of the sonar proximity sensors near a radiallyouter-most edge125bof thesecond base body124b. Seventh, eighth, and ninthsonar proximity sensors410g,410h,410iare disposed on or near the third (right)base body portion124c, with at least one of the sonar proximity sensors near a radiallyouter-most edge125cof thethird base body124c. This configuration provides at least three zones of detection.
• In some examples, the set of sonar proximity sensors410 (e.g.,410a-410i) disposed around thebase body120 are arranged to point upward (e.g., substantially in the Z direction) and optionally angled outward away from the Z axis, thus creating adetection curtain412 around therobot100. Eachsonar proximity sensor410a-410imay have a shroud oremission guide414 that guides the sonar emission upward or at least not toward the other portions of the robot body110 (e.g., so as not to detect movement of therobot body110 with respect to itself). Theemission guide414 may define a shell or half shell shape. In the example shown, thebase body120 extends laterally beyond theleg130, and the sonar proximity sensors410 (e.g.,410a-410i) are disposed on the base body120 (e.g., substantially along a perimeter of the base body120) around theleg130. Moreover, the upward pointingsonar proximity sensors410 are spaced to create a continuous or substantially continuoussonar detection curtain412 around theleg130. Thesonar detection curtain412 can be used to detect obstacles having elevated lateral protruding portions, such as table tops, shelves, etc.
• The upward lookingsonar proximity sensors410 provide the ability to see objects that are primarily in the horizontal plane, such as table tops. These objects, due to their aspect ratio, may be missed by other sensors of the sensor system, such as thelaser scanner440 orimaging sensors450, and as such, can pose a problem to therobot100. The upward viewingsonar proximity sensors410 arranged around the perimeter of the base120 provide a means for seeing or detecting those type of objects/obstacles. Moreover, thesonar proximity sensors410 can be placed around the widest points of the base perimeter and angled slightly outwards, so as not to be occluded or obstructed by thetorso140 orhead160 of therobot100, thus not resulting in false positives for sensing portions of therobot100 itself. In some implementations, thesonar proximity sensors410 are arranged (upward and outward) to leave a volume about thetorso140 outside of a field of view of thesonar proximity sensors410 and thus free to receive mounted payloads or accessories, such as thebasket340. Thesonar proximity sensors410 can be recessed into thebase body124 to provide visual concealment and no external features to snag on or hit obstacles.
• Thesensor system400 may include or more sonar proximity sensors410 (e.g., arear proximity sensor410j) directed rearward (e.g., opposite to the forward drive direction F) for detecting obstacles while backing up. The rearsonar proximity sensor410jmay include anemission guide414 to direct itssonar detection field412. Moreover, the rearsonar proximity sensor410jcan be used for ranging to determine a distance between therobot100 and a detected object in the field of view of the rearsonar proximity sensor410j(e.g., as “back-up alert”). In some examples, the rearsonar proximity sensor410jis mounted recessed within thebase body120 so as to not provide any visual or functional irregularity in the housing form.
• Referring toFIGS. 3 and 4B, in some implementations, therobot100 includescliff proximity sensors420 arranged near or about thedrive wheels210a,210b,210c, so as to allow cliff detection before thedrive wheels210a,210b,210cencounter a cliff (e.g., stairs). For example,cliff proximity sensors420 can be located at or near each of the radially outer-most edges125a-cof thebase bodies124a-cand in locations therebetween. In some cases, cliff sensing is implemented using infrared (IR) proximity or actual range sensing, using aninfrared emitter422 and aninfrared detector424 angled toward each other so as to have an overlapping emission and detection fields, and hence a detection zone, at a location where a floor should be expected. IR proximity sensing can have a relatively narrow field of view, may depend on surface albedo for reliability, and can have varying range accuracy from surface to surface. As a result, multiple discrete sensors can be placed about the perimeter of therobot100 to adequately detect cliffs from multiple points on therobot100. Moreover, IR proximity based sensors typically cannot discriminate between a cliff and a safe event, such as just after therobot100 climbs a threshold.
• Thecliff proximity sensors420 can detect when therobot100 has encountered a falling edge of the floor, such as when it encounters a set of stairs. The controller500 (executing a control system) may execute behaviors that cause therobot100 to take an action, such as changing its direction of travel, when an edge is detected. In some implementations, thesensor system400 includes one or more secondary cliff sensors (e.g., other sensors configured for cliff sensing and optionally other types of sensing). The cliff detectingproximity sensors420 can be arranged to provide early detection of cliffs, provide data for discriminating between actual cliffs and safe events (such as climbing over thresholds), and be positioned down and out so that their field of view includes at least part of therobot body110 and an area away from therobot body110. In some implementations, thecontroller500 executes cliff detection routine that identifies and detects an edge of the supporting work surface (e.g., floor), an increase in distance past the edge of the work surface, and/or an increase in distance between therobot body110 and the work surface. This implementation allows: 1) early detection of potential cliffs (which may allow faster mobility speeds in unknown environments); 2) increased reliability of autonomous mobility since thecontroller500 receives cliff imaging information from the cliff detectingproximity sensors420 to know if a cliff event is truly unsafe or if it can be safely traversed (e.g., such as climbing up and over a threshold); 3) a reduction in false positives of cliffs (e.g., due to the use of edge detection versus the multiple discrete IR proximity sensors with a narrow field of view). Additional sensors arranged as “wheel drop” sensors can be used for redundancy and for detecting situations where a range-sensing camera cannot reliably detect a certain type of cliff.
• Threshold and step detection allows therobot100 to effectively plan for either traversing a climb-able threshold or avoiding a step that is too tall. This can be the same for random objects on the work surface that therobot100 may or may not be able to safely traverse. For those obstacles or thresholds that therobot100 determines it can climb, knowing their heights allows therobot100 to slow down appropriately, if deemed needed, to allow for a smooth transition in order to maximize smoothness and minimize any instability due to sudden accelerations. In some implementations, threshold and step detection is based on object height above the work surface along with geometry recognition (e.g., discerning between a threshold or an electrical cable versus a blob, such as a sock). Thresholds may be recognized by edge detection. Thecontroller500 may receive imaging data from the cliff detecting proximity sensors420 (or another imaging sensor on the robot100), execute an edge detection routine, and issue a drive command based on results of the edge detection routine. Thecontroller500 may use pattern recognition to identify objects as well. Threshold detection allows therobot100 to change its orientation with respect to the threshold to maximize smooth step climbing ability.
• Theproximity sensors410,420 may function alone, or as an alternative, may function in combination with one or more contact sensors430 (e.g., bump switches) for redundancy. For example, one or more contact or bumpsensors430 on therobot body110 can detect if therobot100 physically encounters an obstacle. Such sensors may use a physical property such as capacitance or physical displacement within therobot100 to determine when it has encountered an obstacle. In some implementations, eachbase body portion124a,124b,124cof thebase120 has an associated contact sensor430 (e.g., capacitive sensor, read switch, etc.) that detects movement of the correspondingbase body portion124a,124b,124cwith respect to the base chassis122 (see e.g.,FIG. 4A). For example, eachbase body124a-cmay move radially with respect to the Z axis of thebase chassis122, so as to provide 3-way bump detection.
• Referring again toFIGS. 1-4C,12 and13, in some implementations, thesensor system400 includes alaser scanner440 mounted on a forward portion of therobot body110 and in communication with thecontroller500. In the examples shown, thelaser scanner440 is mounted on thebase body120 facing forward (e.g., having a field of view along the forward drive direction F) on or above thefirst base body124a(e.g., to have maximum imaging coverage along the drive direction F of the robot). Moreover, the placement of the laser scanner on or near the front tip of thetriangular base120 means that the external angle of the robotic base (e.g., 300 degrees) is greater than a field ofview442 of the laser scanner440 (e.g., ˜285 degrees), thus preventing the base120 from occluding or obstructing the detection field ofview442 of thelaser scanner440. Thelaser scanner440 can be mounted recessed within thebase body124 as much as possible without occluding its fields of view, to minimize any portion of the laser scanner sticking out past the base body124 (e.g., for aesthetics and to minimize snagging on obstacles).
• Thelaser scanner440 scans an area about therobot100 and thecontroller500, using signals received from thelaser scanner440, creates an environment map or object map of the scanned area. Thecontroller500 may use the object map for navigation, obstacle detection, and obstacle avoidance. Moreover, thecontroller500 may use sensory inputs from other sensors of thesensor system400 for creating object map and/or for navigation.
• In some examples, thelaser scanner440 is a scanning LIDAR, which may use a laser that quickly scans an area in one dimension, as a “main” scan line, and a time-of-flight imaging element that uses a phase difference or similar technique to assign a depth to each pixel generated in the line (returning a two dimensional depth line in the plane of scanning). In order to generate a three dimensional map, the LIDAR can perform an “auxiliary” scan in a second direction (for example, by “nodding” the scanner). This mechanical scanning technique can be complemented, if not supplemented, by technologies such as the “Flash” LIDAR/LADAR and “Swiss Ranger” type focal plane imaging element sensors, techniques which use semiconductor stacks to permit time of flight calculations for a full 2-D matrix of pixels to provide a depth at each pixel, or even a series of depths at each pixel (with an encoded illuminator or illuminating laser).
• Thesensor system400 may include one or more three-dimensional (3-D)image sensors450 in communication with thecontroller500. If the 3-D image sensor450 has a limited field of view, thecontroller500 or thesensor system400 can actuate the 3-D image sensor450ain a side-to-side scanning manner to create a relatively wider field of view to perform robust ODOA. Referring toFIGS. 1-3 and13, in some implementations, therobot100 includes a scanning 3-D image sensor450amounted on a forward portion of therobot body110 with a field of view along the forward drive direction F (e.g., to have maximum imaging coverage along the drive direction F of the robot). The scanning 3-D image sensor450acan be used primarily for obstacle detection/obstacle avoidance (ODOA). In the example shown, the scanning 3-D image sensor450ais mounted on thetorso140 underneath theshoulder142 or on thebottom surface144 and recessed within the torso140 (e.g., flush or past the bottom surface144), as shown inFIG. 3, for example, to prevent user contact with the scanning 3-D image sensor450a. The scanning 3-D image sensor450 can be arranged to aim substantially downward and away from therobot body110, so as to have a downward field ofview452 in front of therobot100 for obstacle detection and obstacle avoidance (ODOA) (e.g., with obstruction by the base120 or other portions of the robot body110). Placement of the scanning 3-D image sensor450aon or near a forward edge of thetorso140 allows the field of view of the 3-D image sensor450 (e.g., ˜285 degrees) to be less than an external surface angle of the torso140 (e.g., 300 degrees) with respect to the 3-D image sensor450, thus preventing thetorso140 from occluding or obstructing the detection field ofview452 of the scanning 3-D image sensor450a. Moreover, the scanning 3-D image sensor450a(and associated actuator) can be mounted recessed within thetorso140 as much as possible without occluding its fields of view (e.g., also for aesthetics and to minimize snagging on obstacles). The distracting scanning motion of the scanning 3-D image sensor450ais not visible to a user, creating a less distracting interaction experience. Unlike a protruding sensor or feature, the recessed scanning 3-D image sensor450awill not tend to have unintended interactions with the environment (snagging on people, obstacles, etc.), especially when moving or scanning, as virtually no moving part extends beyond the envelope of thetorso140.
• In some implementations, thesensor system400 includes additional 3-D image sensors450 disposed on thebase body120, theleg130, theneck150, and/or thehead160. In the example shown inFIG. 1, therobot100 includes 3-D image sensors450 on thebase body120, thetorso140, and thehead160. In the example shown inFIG. 2, therobot100 includes 3-D image sensors450 on thebase body120, thetorso140, and thehead160. In the example shown inFIG. 12, therobot100 includes 3-D image sensors450 on theleg130, thetorso140, and theneck150. Other configurations are possible as well. One 3-D image sensor450 (e.g., on theneck150 and over the head160) can be used for people recognition, gesture recognition, and/or videoconferencing, while another 3-D image sensor450 (e.g., on thebase120 and/or the leg130) can be used for navigation and/or obstacle detection and obstacle avoidance.
• A forward facing 3-D image sensor450 disposed on theneck150 and/or thehead160 can be used for person, face, and/or gesture recognition of people about therobot100. For example, using signal inputs from the 3-D image sensor450 on thehead160, thecontroller500 may recognize a user by creating a three-dimensional map of the viewed/captured user's face and comparing the created three-dimensional map with known 3-D images of people's faces and determining a match with one of the known 3-D facial images. Facial recognition may be used for validating users as allowable users of therobot100. Moreover, one or more of the 3-D image sensors450 can be used for determining gestures of person viewed by therobot100, and optionally reacting based on the determined gesture(s) (e.g., hand pointing, waving, and or hand signals). For example, thecontroller500 may issue a drive command in response to a recognized hand point in a particular direction.
• The 3-D image sensors450 may be capable of producing the following types of data: (i) a depth map, (ii) a reflectivity based intensity image, and/or (iii) a regular intensity image. The 3-D image sensors450 may obtain such data by image pattern matching, measuring the flight time and/or phase delay shift for light emitted from a source and reflected off of a target.
• In some implementations, reasoning or control software, executable on a processor (e.g., of the robot controller500), uses a combination of algorithms executed using various data types generated by thesensor system400. The reasoning software processes the data collected from thesensor system400 and outputs data for making navigational decisions on where therobot100 can move without colliding with an obstacle, for example. By accumulating imaging data over time of the robot's surroundings, the reasoning software can in turn apply effective methods to selected segments of the sensed image(s) to improve depth measurements of the 3-D image sensors450. This may include using appropriate temporal and spatial averaging techniques.
• The reliability of executing robot collision free moves may be based on: (i) a confidence level built by high level reasoning over time and (ii) a depth-perceptive sensor that accumulates three major types of data for analysis—(a) a depth image, (b) an active illumination image and (c) an ambient illumination image. Algorithms cognizant of the different types of data can be executed on each of the images obtained by the depth-perceptive imaging sensor450. The aggregate data may improve the confidence level a compared to a system using only one of the kinds of data.
• The 3-D image sensors450 may obtain images containing depth and brightness data from a scene about the robot100 (e.g., a sensor view portion of a room or work area) that contains one or more objects. Thecontroller500 may be configured to determine occupancy data for the object based on the captured reflected light from the scene. Moreover, thecontroller500, in some examples, issues a drive command to thedrive system200 based at least in part on the occupancy data to circumnavigate obstacles (i.e., the object in the scene). The 3-D image sensors450 may repeatedly capture scene depth images for real-time decision making by thecontroller500 to navigate therobot100 about the scene without colliding into any objects in the scene. For example, the speed or frequency in which the depth image data is obtained by the 3-D image sensors450 may be controlled by a shutter speed of the 3-D image sensors450. In addition, thecontroller500 may receive an event trigger (e.g., from another sensor component of thesensor system400, such asproximity sensor410,420, notifying thecontroller500 of a nearby object or hazard. Thecontroller500, in response to the event trigger, can cause the 3-D image sensors450 to increase a frequency at which depth images are captured and occupancy information is obtained.
• In some implementations, the robot includes asonar scanner460 for acoustic imaging of an area surrounding therobot100. In the examples shown inFIGS. 1 and 3, thesonar scanner460 is disposed on a forward portion of thebase body120.
• Referring toFIGS. 1,3B and13, in some implementations, therobot100 uses the laser scanner orlaser range finder440 for redundant sensing, as well as a rear-facingsonar proximity sensor410jfor safety, both of which are oriented parallel to the ground G. Therobot100 may include first and second 3-D image sensors450a,450b(depth cameras) to provide robust sensing of the environment around therobot100. The first 3-D image sensor450ais mounted on thetorso140 and pointed downward at a fixed angle to the ground G. By angling the first 3-D image sensor450adownward, therobot100 receives dense sensor coverage in an area immediately forward or adjacent to therobot100, which is relevant for short-term travel of therobot100 in the forward direction. The rear-facingsonar410jprovides object detection when the robot travels backward. If backward travel is typical for therobot100, therobot100 may include a third3D image sensor450 facing downward and backward to provide dense sensor coverage in an area immediately rearward or adjacent to therobot100.
• The second 3-D image sensor450bis mounted on thehead160, which can pan and tilt via theneck150. The second 3-D image sensor450bcan be useful for remote driving since it allows a human operator to see where therobot100 is going. Theneck150 enables the operator tilt and/or pan the second 3-D image sensor450bto see both close and distant objects. Panning the second 3-D image sensor450bincreases an associated horizontal field of view. During fast travel, therobot100 may tilt the second 3-D image sensor450bdownward slightly to increase a total or combined field of view of both 3-D image sensors450a,450b, and to give sufficient time for therobot100 to avoid an obstacle (since higher speeds generally mean less time to react to obstacles). At slower speeds, therobot100 may tilt the second 3-D image sensor450bupward or substantially parallel to the ground G to track a person that therobot100 is meant to follow. Moreover, while driving at relatively low speeds, therobot100 can pan the second 3-D image sensor450bto increase its field of view around therobot100. The first 3-D image sensor450acan stay fixed (e.g., not moved with respect to the base120) when the robot is driving to expand the robot's perceptual range.
• In some implementations, at least one of 3-D image sensors450 can be a volumetric point cloud imaging device (such as a speckle or time-of-flight camera) positioned on therobot100 at a height of greater than 1 or 2 feet above the ground (or at a height of about 1 or 2 feet above the ground) and directed to be capable of obtaining a point cloud from a volume of space including a floor plane in a direction of movement of the robot (via the omni-directional drive system200). In the examples shown inFIGS. 1 and 3, the first 3-D image sensor450acan be positioned on the base120 at height of greater than 1 or 2 feet above the ground and aimed along the forward drive direction F to capture images (e.g., volumetric point cloud) of a volume including the floor while driving (e.g., for obstacle detection and obstacle avoidance). The second 3-D image sensor450bis shown mounted on the head160 (e.g., at a height greater than about 3 or 4 feet above the ground), so as to be capable of obtaining skeletal recognition and definition point clouds from a volume of space adjacent therobot100. Thecontroller500 may execute skeletaL/digital recognition software to analyze data of the captured volumetric point clouds.
• Referring again to FIGS.2 and4A-4C, thesensor system400 may include an inertial measurement unit (IMU)470 in communication with thecontroller500 to measure and monitor a moment of inertia of therobot100 with respect to the overall center of gravity CG_Rof therobot100.
• Thecontroller500 may monitor any deviation in feedback from theIMU470 from a threshold signal corresponding to normal unencumbered operation. For example, if the robot begins to pitch away from an upright position, it may be “clothes lined” or otherwise impeded, or someone may have suddenly added a heavy payload. In these instances, it may be necessary to take urgent action (including, but not limited to, evasive maneuvers, recalibration, and/or issuing an audio/visual warning) in order to assure safe operation of therobot100.
• Sincerobot100 may operate in a human environment, it may interact with humans and operate in spaces designed for humans (and without regard for robot constraints). Therobot100 can limit its drive speeds and accelerations when in a congested, constrained, or highly dynamic environment, such as at a cocktail party or busy hospital. However, therobot100 may encounter situations where it is safe to drive relatively fast, as in a long empty corridor, but yet be able to decelerate suddenly, as when something crosses the robots' motion path.
• When accelerating from a stop, thecontroller500 may take into account a moment of inertia of therobot100 from its overall center of gravity CG_Rto prevent robot tipping. Thecontroller500 may use a model of its pose, including its current moment of inertia. When payloads are supported, thecontroller500 may measure a load impact on the overall center of gravity CG_Rand monitor movement of the robot moment of inertia. For example, thetorso140 and/orneck150 may include strain gauges to measure strain. If this is not possible, thecontroller500 may apply a test torque command to thedrive wheels210 and measure actual linear and angular acceleration of the robot using theIMU470, in order to experimentally determine safe limits.
• During a sudden deceleration, a commanded load on the second andthird drive wheels210b,210c(the rear wheels) is reduced, while thefirst drive wheel210a(the front wheel) slips in the forward drive direction and supports therobot100. If the loading of the second andthird drive wheels210b,210c(the rear wheels) is asymmetrical, therobot100 may “yaw” which will reduce dynamic stability. The IMU470 (e.g., a gyro) can be used to detect this yaw and command the second andthird drive wheels210b,210cto reorient therobot100.
• Referring toFIGS. 3-4C and6, in some implementations, therobot100 includes multiple antennas. In the examples shown, therobot100 includes afirst antenna490aand asecond antenna490bboth disposed on the base120 (although the antennas may be disposed at any other part of therobot100, such as theleg130, thetorso140, theneck150, and/or the head160). The use of multiple antennas provide robust signal reception and transmission. The use of multiple antennas provides therobot100 with multiple-input and multiple-output, or MIMO, which is the use of multiple antennas for a transmitter and/or a receiver to improve communication performance. MIMO offers significant increases in data throughput and link range without additional bandwidth or transmit power. It achieves this by higher spectral efficiency (more bits per second per hertz of bandwidth) and link reliability or diversity (reduced fading). Because of these properties, MIMO is an important part of modern wireless communication standards such as IEEE 802.11n (Wifi), 4G, 3GPP Long Term Evolution, WiMAX and HSPA+. Moreover, therobot100 can act as a Wi-Fi bridge, hub or hotspot for other electronic devices nearby. The mobility and use of MIMO of therobot100 can allow the robot to come a relatively very reliable Wi-Fi bridge.
• MIMO can be sub-divided into three main categories, pre-coding, spatial multiplexing or SM, and diversity coding. Pre-coding is a type of multi-stream beam forming and is considered to be all spatial processing that occurs at the transmitter. In (single-layer) beam forming, the same signal is emitted from each of the transmit antennas with appropriate phase (and sometimes gain) weighting such that the signal power is maximized at the receiver input. The benefits of beam forming are to increase the received signal gain, by making signals emitted from different antennas add up constructively, and to reduce the multipath fading effect. In the absence of scattering, beam forming can result in a well defined directional pattern. When the receiver has multiple antennas, the transmit beam forming cannot simultaneously maximize the signal level at all of the receive antennas, and pre-coding with multiple streams can be used. Pre-coding may require knowledge of channel state information (CSI) at the transmitter.
• Spatial multiplexing requires a MIMO antenna configuration. In spatial multiplexing, a high rate signal is split into multiple lower rate streams and each stream is transmitted from a different transmit antenna in the same frequency channel. If these signals arrive at the receiver antenna array with sufficiently different spatial signatures, the receiver can separate these streams into (almost) parallel channels. Spatial multiplexing is a very powerful technique for increasing channel capacity at higher signal-to-noise ratios (SNR). The maximum number of spatial streams is limited by the lesser in the number of antennas at the transmitter or receiver. Spatial multiplexing can be used with or without transmit channel knowledge. Spatial multiplexing can also be used for simultaneous transmission to multiple receivers, known as space-division multiple access. By scheduling receivers with different spatial signatures, good separability can be assured.
• Diversity Coding techniques can be used when there is no channel knowledge at the transmitter. In diversity methods, a single stream (unlike multiple streams in spatial multiplexing) is transmitted, but the signal is coded using techniques called space-time coding. The signal is emitted from each of the transmit antennas with full or near orthogonal coding. Diversity coding exploits the independent fading in the multiple antenna links to enhance signal diversity. Because there is no channel knowledge, there is no beam forming or array gain from diversity coding. Spatial multiplexing can also be combined with pre-coding when the channel is known at the transmitter or combined with diversity coding when decoding reliability is in trade-off.
• In some implementations, therobot100 includes athird antenna490cand/or afourth antenna490dand thetorso140 and/or thehead160, respectively (see e.g.,FIG. 3). In such instances, thecontroller500 can determine an antenna arrangement (e.g., by moving the antennas490a-d, as by raising or lowering thetorso140 and/or rotating and/or tilting the head160) that achieves a threshold signal level for robust communication. For example, thecontroller500 can issue a command to elevate the third andfourth antennas490c,490dby raising a height of thetorso140. Moreover, thecontroller500 can issue a command to rotate and/or thehead160 to further orient thefourth antenna490dwith respect to the other antennas490a-c.
• Referring toFIG. 14, in some implementations, thecontroller500 executes acontrol system510, which includes acontrol arbitration system510aand abehavior system510bin communication with each other. Thecontrol arbitration system510aallowsapplications520 to be dynamically added and removed from thecontrol system510, and facilitates allowingapplications520 to each control therobot100 without needing to know about anyother applications520. In other words, thecontrol arbitration system510aprovides a simple prioritized control mechanism betweenapplications520 and resources530 of therobot100. The resources530 may include thedrive system200, thesensor system400, and/or any payloads or controllable devices in communication with thecontroller500.
• Theapplications520 can be stored in memory of or communicated to therobot100, to run concurrently on (e.g., a processor) and simultaneously control therobot100. Theapplications520 may access behaviors600 of thebehavior system510b. The independently deployedapplications520 are combined dynamically at runtime and to share robot resources530 (e.g.,drive system200, arm(s), head(s), etc.) of therobot100. A low-level policy is implemented for dynamically sharing the robot resources530 among theapplications520 at run-time. The policy determines whichapplication520 has control of the robot resources530 required by that application520 (e.g. a priority hierarchy among the applications520).Applications520 can start and stop dynamically and run completely independently of each other. Thecontrol system510 also allows for complex behaviors600 which can be combined together to assist each other.
• Thecontrol arbitration system510aincludes one ormore resource controllers540, arobot manager550, and one ormore control arbiters560. These components do not need to be in a common process or computer, and do not need to be started in any particular order. Theresource controller540 component provides an interface to thecontrol arbitration system510aforapplications520. There is an instance of this component for everyapplication520. Theresource controller540 abstracts and encapsulates away the complexities of authentication, distributed resource control arbiters, command buffering, and the like. Therobot manager550 coordinates the prioritization ofapplications520, by controlling whichapplication520 has exclusive control of any of the robot resources530 at any particular time. Since this is the central coordinator of information, there is only one instance of therobot manager550 per robot. Therobot manager550 implements a priority policy, which has a linear prioritized order of theresource controllers540, and keeps track of theresource control arbiters560 that provide hardware control. Thecontrol arbiter560 receives the commands from everyapplication520 and generates a single command based on the applications' priorities and publishes it for its associated resources530. Thecontrol arbiter560 also receives state feedback from its associated resources530 and sends it back up to theapplications520. The robot resources530 may be a network of functional modules (e.g. actuators, drive systems, and groups thereof) with one or more hardware controllers. The commands of thecontrol arbiter560 are specific to the resource530 to carry out specific actions.
• Adynamics model570 executable on thecontroller500 can be configured to compute the center for gravity (CG), moments of inertia, and cross products of inertia of various portions of therobot100 for the assessing a current robot state. Thedynamics model570 may also model the shapes, weight, and/or moments of inertia of these components. In some examples, thedynamics model570 communicates with the inertial moment unit470 (IMU) or portions of one (e.g., accelerometers and/or gyros) disposed on therobot100 and in communication with thecontroller500 for calculating the various center of gravities of therobot100. Thedynamics model570 can be used by thecontroller500, along withother programs520 or behaviors600 to determine operating envelopes of therobot100 and its components.
• Eachapplication520 has anaction selection engine580 and aresource controller540, one or more behaviors600 connected to theaction selection engine580, and one ormore action models590 connected toaction selection engine580. Thebehavior system510bprovides predictive modeling and allows the behaviors600 to collaboratively decide on the robot's actions by evaluating possible outcomes of robot actions. In some examples, a behavior600 is a plug-in component that provides a hierarchical, state-full evaluation function that couples sensory feedback from multiple sources with a-priori limits and information into evaluation feedback on the allowable actions of the robot. Since the behaviors600 are pluggable into the application520 (e.g., residing inside or outside of the application520), they can be removed and added without having to modify theapplication520 or any other part of thecontrol system510. Each behavior600 is a standalone policy. To make behaviors600 more powerful, it is possible to attach the output of multiple behaviors600 together into the input of another so that you can have complex combination functions. The behaviors600 are intended to implement manageable portions of the total cognizance of therobot100.
• Theaction selection engine580 is the coordinating element of thecontrol system510 and runs a fast, optimized action selection cycle (prediction/correction cycle) searching for the best action given the inputs of all the behaviors600. Theaction selection engine580 has three phases: nomination, action selection search, and completion. In the nomination phase, each behavior600 is notified that the action selection cycle has started and is provided with the cycle start time, the current state, and limits of the robot actuator space. Based on internal policy or external input, each behavior600 decides whether or not it wants to participate in this action selection cycle. During this phase, a list of active behavior primitives is generated whose input will affect the selection of the commands to be executed on therobot100.
• In the action selection search phase, theaction selection engine580 generates feasible outcomes from the space of available actions, also referred to as the action space. Theaction selection engine580 uses theaction models590 to provide a pool of feasible commands (within limits) and corresponding outcomes as a result of simulating the action of each command at different time steps with a time horizon in the future. Theaction selection engine580 calculates a preferred outcome, based on the outcome evaluations of the behaviors600, and sends the corresponding command to thecontrol arbitration system510aand notifies theaction model590 of the chosen command as feedback.
• In the completion phase, the commands that correspond to a collaborative best scored outcome are combined together as an overall command, which is presented to theresource controller540 for execution on the robot resources530. The best outcome is provided as feedback to the active behaviors600, to be used in future evaluation cycles.
• Received sensor signals from thesensor system400 can cause interactions with one or more behaviors600 to execute actions. For example, using thecontrol system510, thecontroller500 selects an action (or move command) for each robotic component (e.g., motor or actuator) from a corresponding action space (e.g., a collection of possible actions or moves for that particular component) to effectuate a coordinated move of each robotic component in an efficient manner that avoids collisions with itself and any objects about therobot100, which therobot100 is aware of. Thecontroller500 can issue a coordinated command over robot network, such as an EtherIO network, as described in U.S. Ser. No. 61/305,069, filed Feb. 16, 2010, the entire contents of which are hereby incorporated by reference.
• Thecontrol system510 may provide adaptive speed/acceleration of the drive system200 (e.g., via one or more behaviors600) in order to maximize stability of therobot100 in different configurations/positions as therobot100 maneuvers about an area.
• In some implementations, thecontroller500 issues commands to thedrive system200 that propels therobot100 according to a heading setting and a speed setting. One or behaviors600 may use signals received from thesensor system400 to evaluate predicted outcomes of feasible commands, one of which may be elected for execution (alone or in combination with other commands as an overall robot command) to deal with obstacles. For example, signals from theproximity sensors410 may cause thecontrol system510 to change the commanded speed or heading of therobot100. For instance, a signal from aproximity sensor410 due to a nearby wall may result in thecontrol system510 issuing a command to slow down. In another instance, a collision signal from the contact sensor(s) due to an encounter with a chair may cause thecontrol system510 to issue a command to change heading. In other instances, the speed setting of therobot100 may not be reduced in response to the contact sensor, and/or the heading setting of therobot100 may not be altered in response to theproximity sensor410.
• Thebehavior system510bmay include a speed behavior600a(e.g., a behavioral routine executable on a processor) configured to adjust the speed setting of therobot100 and a heading behavior600bconfigured to alter the heading setting of therobot100. The speed and heading behaviors600a,600bmay be configured to execute concurrently and mutually independently. For example, the speed behavior600amay be configured to poll one of the sensors (e.g., the set(s) ofproximity sensors410,420), and the heading behavior600bmay be configured to poll another sensor (e.g., the kinetic bump sensor).
• Referring toFIGS. 15 and 16, while maneuvering about a work area, therobot100 may encounter a threshold T on the floor, which may be any raised element or a small step from one level to another. In some examples, the threshold T can be a long, thin, usually fixed object on the floor, with its long dimension perpendicular to the direction of travel of therobot100. Other arrangement are possible as well. For example, therobot100 does not necessarily need to approach the threshold T with the long dimension of the threshold T perpendicular to the forward drive direction F of therobot100. For example, therobot100 may approach the threshold T in an oblique manner. Although the threshold T is shown as a straight object, it does't necessarily need to be straight, rectangular or of any particular shape.
• Smooth threshold or level change traversal can be important to maximize robot stability. For example, thecontrol system510 may executeapplications520 and/or behaviors600 that prevent or minimize the probability of allowing therobot100 to run into a threshold T at particular angle with respect to the forward drive direction F or above a threshold velocity, either of which may cause therobot100 to tilt forward suddenly, pop a wheelie (e.g., if thefirst drive wheel210ahits an up-ramp straight on), or suddenly tip forward when dropping adrive wheel210 off a threshold.
• In some implementations, in order for therobot100 to safely traverse the threshold T, the threshold T can be no taller than a clearance height C (e.g., greater than about 2 inches or 4 inches) between the bottom of thebase120 and the ground G to avoid robot high centering. Depending on a height H_Tof the threshold T and the overall center of gravity CG_Rof therobot100, thecontrol system510 may choose to reduce a drive speed of therobot100 as well as lower its overall center of gravity CG_R, if possible, while traversing the threshold T.
• FIG. 15 provides anexemplary arrangement1500 of operations, executable by one or more behaviors600, such as a threshold traversal behavior600c, for operating a mobile robot to negotiate a threshold T. With additional reference toFIGS. 16-17G, in some implementations, a method of negotiating a threshold T (e.g., moving onto either a higher or lower level with respect to a current ground level) includes detecting1502athreshold T (e.g., using the sensor system400) and determining1504 an elevation change (e.g., a positive or negative height H_Tof the threshold T) associated with the threshold T. The method further includes determining1506 if the threshold T is negotiable by therobot100 using thesensor system400. For example, based on images captured by the 3-D image sensor450amounted on the torso140 (or another 3-D image sensor450 mounted elsewhere), thecontrol system510 can determine the positive or negative height Hr of the threshold T. If the height Hr of the threshold T is within a threshold height range (e.g., a height that will not cause high centering of therobot100 and/or is not greater than the drive wheel radius R or a radius of a drive ball258), thecontrol system510 can determine that it is safe to proceed with negotiating the threshold T. Therobot100 may continue to actively track the threshold T using thesensor system400, for example, to store a location and dimensions of the threshold T, in case the threshold T enters a blind spot of the sensor system400 (e.g., as when the threshold T is under the robot during traversal).
• The method includes approaching1508 the threshold T. AlthoughFIG. 17A provides a schematic view of therobot100 approaching the threshold T with the drive direction F perpendicular or substantially perpendicular to a longest dimension of the threshold T, therobot100 may approach the threshold T at other angles as well.
• To negotiate the threshold T, the method includes maneuvering1510 the first andsecond drive wheels210a,210bor first and second drive balls258a,258b(e.g., rotating and/or translating the robot100) to approach the threshold T equidistantly (i.e., so that the first andsecond drive wheels510a,510b(or drive balls258a,258b) are both the same distance or substantially the same distance from the threshold T), as shown inFIG. 17B. The method includes moving1512 thefirst drive wheel210a(or drive ball258a) onto the threshold T (using the rollers230 (of radius r), if necessary, as treads), as shown inFIG. 17C. For example, therobot100 may pivot about thesecond drive wheel210b(or drive ball258b) to move thefirst drive wheel210a(or drive ball258a) onto the threshold T. While holding thefirst drive wheel210a(or drive ball258a) in place (i.e., as a pivot), the method includes moving or pivoting1514 thesecond drive wheel210b(or drive ball258b) onto the threshold T, as shown inFIG. 17D. The first andsecond drive wheels210a,210b(or drive balls258a,258b) are now both on the threshold T. While holding thesecond drive wheel210b(or drive ball258b) in place (i.e., as a pivot), the method includes moving or pivoting1516 thefirst drive wheel210a(or drive ball258a) off of the threshold T, as shown inFIG. 17E, and continuing1518 to pivot therobot100 about thesecond drive wheel210b(or drive ball258b) to move or drive thethird drive wheel210c(or drive ball258c) onto the threshold T, as shown inFIG. 17F. The second andthird drive wheels210b,210c(or drive balls258b,258c) are now both on the threshold T. The method includes continuing forward and driving away from the threshold T to move or drive1520 both the second andthird drive wheels210b,210c(or drive balls258b,258c) off the threshold T and resume maneuvering about the area on the ground G, as shown inFIG. 17G.
• In some implementations, when the first andsecond drive wheels210a,210b(or drive balls258a,258b) are both on the threshold T, as shown inFIG. 17D, the method includes accelerating the first andsecond drive wheels210a,210b(or drive balls258a,258b) off the threshold T at the same time, pulling thethird drive wheel210c(or drive ball258c) over the threshold T. Moreover, therobot100 does not necessarily need to hold anydrive wheel210a-c(or driveballs258a-c) as a fixed pivot on the threshold T while traversing the threshold T. Instead, therobot100 can smoothly and continuously rotate and translate across the threshold T in the manner described and shown inFIGS. 17A-17G. Although the operations have been described with respect to adrive system200 employingdrive wheels210 or driveballs258, the operations may be executed for traversing a threshold using other types of three point drive systems (i.e., drive systems having three supporting drive elements).
• Referring toFIG. 18, in some implementations, therobot100 includes a manipulator180 (e.g., articulated or non-articulated) with anend effector182. If themanipulator180 is mounted on a fixed base (i.e., non-movable base), themanipulator180 must include joints, any one of which having at least one if not more degrees of freedom, to allow movement of theend effector182 with multiple degrees of freedom. Multiple joints with multiple motors, however, increases the cost and complexity of themanipulator180.
• Mounting themanipulator180 to a mobility platform can ease this problem, since some degrees of freedom will be accounted for by the mobility of the platform itself. However, if the mobility paradigm is based on tracked or parallel wheeled approaches, themanipulator180 will still require some joint articulation in order to able to move theend effector182 in any direction while maintaining any orientation of the mobility platform. For example, if themanipulator180 is pointing straight forward on a tracked vehicle and there is a desire to move theend effector182 directly sideways while maintaining the orientation of the tracked vehicle, some articulation in themanipulator180 is required without moving the tracked vehicle, as the tracked vehicle cannot move directly sideways (i.e., perpendicular to a drive direction of the tracks).
• Theholonomic drive system200 in conjunction with the variable height of the torso140 (via actuation of the leg130) allows infinite degrees of freedom ofmovement5 of anon-articulated manipulator180 disposed on thetorso140, so that theend effector182 can be moved along any vector in true space, while maintaining any given robot orientation. Moreover, mounting themanipulator180 on thehead160, which can be moved with theneck150, provides additional movement and reach of themanipulator180. The holonomic mobility of thebase120 provides x, y, and Oz degrees of freedom. Vertical actuation of theleg130 moves thetorso140 in the Z direction for a “z” degree of freedom. Therefore, therobot100 can provide x, y, z, and0 movement of theend effector182 without any articulation of themanipulator180 itself.
• In addition to the reduced cost and complexity of themanipulator180, this approach greatly simplifies the computer processing necessary to control theend effector182 in various directions. Resolved motion, or the ability to move anend effector182 in a particular direction by controlling multiple joints with multiple degrees of freedom, requires complex logic and control algorithms. However, mounting the manipulator on thetorso140 of the disclosedrobot100 allows for independent control of each degree of freedom (x, y, z, and Oz), rather than relying on controlling joints which impact more than one of those degrees, makes the math behind the resolved motion algorithms relatively easier. This further allows relatively lesser requirements for computer processor overhead, reducing cost and increasing reliability.
• Traditionally, methods of opening and/or passing through a door or doorway for a robot include keeping a door open using a “chock” or using a multiple degree of freedom, large range of motion manipulator to continuously keep the door open (which requires custom corrugated motion) while the robot maneuvers through the doorway (e.g., using non-holonomic motion (y and Oz only)). Theholonomic drive system200 allows therobot100 to open a door (free hung or self-closing) and pass through the corresponding doorway.
• Referring toFIGS. 19A-19C, in some implementations, thebehavioral system410aincludes a manipulator behavior600d(e.g., a routine executable on a computing processor) that causes thecontrol system510 to issue commands to open adoor1902 and negotiate acorresponding doorway1900. A method of opening adoor1902 includes maneuvering the robot100 (e.g., rotating and/or translating) to orient and position theend effector182 of themanipulator180 so that theend effector182 can manipulate adoor knob1904 of thedoor1902. Theend effector182 may be configured to open and close to grasp an object and rotate (e.g., about an axis of themanipulator180, such as twisting). The method includes grasping thedoor knob1904 with theend effector182 and twisting the door knob1904 (or raising or lowering thetorso140 to toggle/actuate the lever1904), so as to disengage thedoor knob1904. The method further includes maneuvering therobot100 to pull/push thedoor1902 open and then maneuver the robot holonomically through thecorresponding doorway1900. Therobot100 can grasp thedoor knob1904 on the opposite side of the door and then pull/push thedoor1902 closed.
• For opening/closing a relativelyheavy door1902 with a relatively small,lightweight robot100, after disengaging the door knob1904 (e.g., by turning the door knob or toggling the lever), maneuvering therobot100 as close as possible to thedoor knob1904 while decreasing an extension length of themanipulator180 to minimize a distance betweendoor knob1904 and thebase120. The method further includes pushing up on the door knob1904 (e.g., by lifting thetorso140, as by extending the leg130) to increase the normal force on thedrive wheels210a-c, thereby increasing traction.
• For negotiating past a self-closing door1902 (from either direction), once thedoor1902 is open,robot100 is already close to thedoor1902 and can rotate and/or traverse the base120 to act as a chock. In some examples, themanipulator180 includes a passive or active pan degree of freedom (DOF) to maintain contact between theend effector182 and thedoor knob1904. Once through thedoorway1900, the method includes releasing theend effector182 and retracting the manipulator180 (e.g., by using the x, y, and θz DOF's of the base120) to smoothly pass through thedoorway1900 while maintaining continuous contact with thedoor1902 and therobot base120. No sliding contact motion against thedoor1902 is required, thus avoiding scratching therobot100 or thedoor1902 and avoiding any friction therebetween, which would increase robot effort. Since therobot100, in some implementations, maintains all associated components above thebase120 within a vertical volume defined by thebase120, the only contact with thedoor1902 is with thebase120. Since the contact with thedoor1902 is close to the ground, traction and stability of therobot100 can be maximized.
• In the example shown inFIG. 19D, therobot100 includes anextendable manipulator180 attached to thehead160. Therobot100 can maneuver (e.g., holonomically) while grasping and disengaging thedoor knob1904, pushing thecorresponding door1902 open, and then maneuvering out of thedoorway1900 to aside to allow a person to pass therethrough while holding thedoor1902 open.
• Referring toFIG. 20, in some implementations, therobot100 includes arobot body110 having a base120, at least oneleg130 extending upwardly from thebase120, and atorso140 supported by the at least oneleg130. The base120 may support at least portions of thedrive system200. Therobot body110 also includes aneck150 supported by thetorso140. Theneck150 supports an arm190 (which may be articulated), which supports ahead160. Thehead160 can support at least a portion of theinterfacing module300. Thearm190 allows therobot100 to move thehead160 into elevated positions above and away from theneck150. In the example shown, therobot100 can move thehead160 over a conveyor belt so that therobot100 can view items on the conveyor belt using acamera320 or a 3-D image sensor450 on thehead160. During a videoconferencing session with a remote user, therobot100 and a local user adjacent therobot100, the remote user and/or the local user can direct therobot100 to achieve a pose that will allow therobot100 to sense and/or view an object of interest. Moreover, thecontrol system510 may limit movement of thehead160 away from theneck150 so as to maintain stability of therobot100. In some examples, thecontrol system510 maintains thehead160 within a perimeter of thebase120, so as not to move the overall center of gravity CG_Rbeyond the perimeter of thebase120.
• Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, specially designed ASICs (application specific integrated circuits), computer hardware, firmware, software, and/or combinations thereof. These various implementations can include implementation in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, coupled to receive data and instructions from, and to transmit data and instructions to, a storage system, at least one input device, and at least one output device.
• These computer programs (also known as programs, software, software applications or code) include machine instructions for a programmable processor, and can be implemented in a high-level procedural and/or object-oriented programming language, and/or in assembly/machine language. As used herein, the terms “machine-readable medium” and “computer-readable medium” refer to any computer program product, apparatus and/or device (e.g., magnetic discs, optical disks, memory, Programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term “machine-readable signal” refers to any signal used to provide machine instructions and/or data to a programmable processor.
• Implementations of the subject matter and the functional operations described in this specification can be implemented in digital electronic circuitry, or in computer software, firmware, or hardware, including the structures disclosed in this specification and their structural equivalents, or in combinations of one or more of them. Embodiments of the subject matter described in this specification can be implemented as one or more computer program products, i.e., one or more modules of computer program instructions encoded on a computer readable medium for execution by, or to control the operation of, data processing apparatus. The computer readable medium can be a machine-readable storage device, a machine-readable storage substrate, a memory device, a composition of matter effecting a machine-readable propagated signal, or a combination of one or more of them. The term “data processing apparatus” encompasses all apparatus, devices, and machines for processing data, including by way of example a programmable processor, a computer, or multiple processors or computers. The apparatus can include, in addition to hardware, code that creates an execution environment for the computer program in question, e.g., code that constitutes processor firmware, a protocol stack, a database management system, an operating system, or a combination of one or more of them. A propagated signal is an artificially generated signal, e.g., a machine-generated electrical, optical, or electromagnetic signal, that is generated to encode information for transmission to suitable receiver apparatus.
• A computer program (also known as a program, software, software application, script, or code) can be written in any form of programming language, including compiled or interpreted languages, and it can be deployed in any form, including as a stand alone program or as a module, component, subroutine, or other unit suitable for use in a computing environment. A computer program does not necessarily correspond to a file in a file system. A program can be stored in a portion of a file that holds other programs or data (e.g., one or more scripts stored in a markup language document), in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files that store one or more modules, sub programs, or portions of code). A computer program can be deployed to be executed on one computer or on multiple computers that are located at one site or distributed across multiple sites and interconnected by a communication network.
• The processes and logic flows described in this specification can be performed by one or more programmable processors executing one or more computer programs to perform functions by operating on input data and generating output. The processes and logic flows can also be performed by, and apparatus can also be implemented as, special purpose logic circuitry, e.g., an FPGA (field programmable gate array) or an ASIC (application specific integrated circuit).
• Processors suitable for the execution of a computer program include, by way of example, both general and special purpose microprocessors, and any one or more processors of any kind of digital computer. Generally, a processor will receive instructions and data from a read only memory or a random access memory or both. The essential elements of a computer are a processor for performing instructions and one or more memory devices for storing instructions and data. Generally, a computer will also include, or be operatively coupled to receive data from or transfer data to, or both, one or more mass storage devices for storing data, e.g., magnetic, magneto optical disks, or optical disks. However, a computer need not have such devices. Moreover, a computer can be embedded in another device, e.g., a mobile telephone, a personal digital assistant (PDA), a mobile audio player, a Global Positioning System (GPS) receiver, to name just a few. Computer readable media suitable for storing computer program instructions and data include all forms of non volatile memory, media and memory devices, including by way of example semiconductor memory devices, e.g., EPROM, EEPROM, and flash memory devices; magnetic disks, e.g., internal hard disks or removable disks; magneto optical disks; and CD ROM and DVD-ROM disks. The processor and the memory can be supplemented by, or incorporated in, special purpose logic circuitry.
• Implementations of the subject matter described in this specification can be implemented in a computing system that includes a back end component, e.g., as a data server, or that includes a middleware component, e.g., an application server, or that includes a front end component, e.g., a client computer having a graphical user interface or a web browser through which a user can interact with an implementation of the subject matter described is this specification, or any combination of one or more such back end, middleware, or front end components. The components of the system can be interconnected by any form or medium of digital data communication, e.g., a communication network. Examples of communication networks include a local area network (“LAN”) and a wide area network (“WAN”), e.g., the Internet. The computing system can include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other.
• While this specification contains many specifics, these should not be construed as limitations on the scope of the invention or of what may be claimed, but rather as descriptions of features specific to particular implementations of the invention. Certain features that are described in this specification in the context of separate implementations can also be implemented in combination in a single implementation. Conversely, various features that are described in the context of a single implementation can also be implemented in multiple implementations separately or in any suitable sub-combination. Moreover, although features may be described above as acting in certain combinations and even initially claimed as such, one or more features from a claimed combination can in some cases be excised from the combination, and the claimed combination may be directed to a sub-combination or variation of a sub-combination.
• Similarly, while operations are depicted in the drawings in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order, or that all illustrated operations be performed, to achieve desirable results. In certain circumstances, multi-tasking and parallel processing may be advantageous. Moreover, the separation of various system components in the embodiments described above should not be understood as requiring such separation in all embodiments, and it should be understood that the described program components and systems can generally be integrated together in a single software product or packaged into multiple software products.
• A number of implementations have been described. Nevertheless, it will be understood that various modifications may be made without departing from the spirit and scope of the disclosure. Accordingly, other implementations are within the scope of the following claims. For example, the actions recited in the claims can be performed in a different order and still achieve desirable results.

Claims (24)

What is claimed is:

1. A method of operating a mobile robot, the method comprising:

grasping a feature of a door of a doorway with an end effector of a manipulator arm mounted on the robot;

driving the robot while grasping the door feature to move the door to an open position;

driving the robot to maneuver the robot to contact the door and chock the door in the open position;

releasing the door feature from the end effector after chocking the door; and

driving the robot through the doorway.

2. The method ofclaim 1, wherein the manipulator arm includes a passive or active pan degree of freedom to maintain contact between the end effector and the door feature.

3. The method ofclaim 1, further comprising driving the robot holonomically to maneuver a body of the robot to contact the door and chock the door in the open position, the robot comprising a holonomic drive system having one or more drive elements configured to maneuver the robot omni-directionally.

4. The method ofclaim 3, further comprising releasing the end effector from the door feature and retracting the manipulator arm away from the door to smoothly pass through the doorway while maintaining continuous contact between the door and the robot body.

5. The method ofclaim 1, further comprising:

driving holonomically through the doorway of the door while continuing to grasp the door feature with the end effector; and

releasing the door feature after passing through the doorway.

6. The method ofclaim 1, wherein the door comprises a self-closing door.

7. The method ofclaim 1, wherein the door feature comprises a doorknob or handle.

8. The method ofclaim 1, further comprising disengaging the door feature from the doorway using the end effector of the manipulator arm before driving the robot to move the door to the open position.

9. The method ofclaim 8, further comprising altering a height of the manipulator arm to disengage the door feature.

10. The method ofclaim 1, further comprising altering a length of the manipulator arm while passing through the doorway.

11. The method ofclaim 1, further comprising:

sensing a person near the doorway;

holding the door in the open position to allow the person to pass through the doorway;

detecting when the person has passed through the doorway; and

releasing the door feature after detection of the person having passed through the doorway.

12. The method ofclaim 11, further comprising:

receiving three-dimensional volumetric point cloud image data of a scene including the doorway; and

determining a presence of the person using the three-dimensional volumetric point cloud image data.

13. A robot comprising:

a robot body;

a holonomic drive system supporting the robot body;

a manipulator arm mounted on the robot body and having an end effector, and

a controller in communication with the drive system and the manipulator arm, the controller commanding:

the manipulator arm to grasp a feature of a door of a doorway with the end effector;

the drive system to drive the robot while grasping the door feature with the end effector to move the door to an open position and maneuver the robot body to contact the door and chock the door in the open position;

the manipulator arm to release the door feature from the end effector after chocking the door, and

the drive system to drive the robot through the doorway.

14. The robot ofclaim 13, wherein the manipulator arm includes a passive or active pan degree of freedom to maintain contact between the end effector and the door feature.

15. The robot ofclaim 13, wherein the drive system comprises a holonomic drive system having one or more drive elements configured to maneuver the robot omni-directionally, the controller commanding the drive system to holonomically maneuver the robot body to contact the door and chock the door in the open position.

16. The robot ofclaim 15, wherein the controller commands the manipulator to release the end effector from the door feature and retract away from the door to smoothly pass through the doorway while maintaining continuous contact between the door and the robot body.

17. The robot ofclaim 13, wherein the drive system comprises a holonomic drive system having one or more drive elements configured to maneuver the robot omni-directionally, the controller:

commanding the drive system to holonomically maneuver the robot body through the doorway while the end effector grasps the door feature; and

commanding the manipulator arm to release the door feature after passing through the doorway.

18. The robot ofclaim 13, wherein the door comprises a self-closing door.

19. The robot ofclaim 13, wherein the door feature comprises a doorknob or handle.

20. The robot ofclaim 13, wherein the controller commands the manipulator arm to disengage the door feature from the doorway using the end effector before commanding the drive system to drive the robot to move the door to the open position.

21. The robot ofclaim 20, wherein the robot body has an adjustable height, the controller commanding the robot body to alter a height of the manipulator arm to disengage the door feature.

22. The robot ofclaim 13, wherein the controller commands the manipulator arm to alter a length of the manipulator arm while passing through the doorway.

23. The robot ofclaim 13, further comprising a proximity sensor disposed on the robot body and in communication with the controller, the controller:

determining a presence of a person near the doorway using proximity data received from the proximity sensor,

commanding the manipulator arm to hold the door in the open position to allow the person to pass through the doorway;

determining when the person has passed through the doorway using proximity data received from the proximity sensor, and

commanding the manipulator arm to release the door feature after determining that the person has passed through the doorway.

24. The robot ofclaim 23, wherein the proximity sensor comprises a three-dimensional volumetric point cloud imaging sensor and the controller determines the presence of a person near the doorway using three-dimensional volumetric point cloud image data of a scene including the doorway received from the three-dimensional volumetric point cloud imaging sensor.

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