Dhruva Shaw

A discord.py bot & full-stack developer on python myself a Robotics & Automation Engg undergrad student.

prof_pic.jpg

Creative Net, India

[email protected]

[email protected]

[email protected]

Innovative and results-driven Robotics and Automation Engineer-in-training with a passion for merginghardware and software to create impactful solutions. Skilled inPython programming, specializing inDiscord.py bot development, full-stack web applications, and embedded systems.

Adedicated automation expert, I am passionate aboutoptimizing workflows and eliminating manual tasks through creative and efficient automated systems. My journey includes hands-on projects such as theMind-Controlled Bionic Arm with Sense of Touch andAI models for early Osteoporosis detection. Proficient inmicrocontroller programming (Arduino, ESP32, Raspberry Pi) and experienced inmachine learning, industrial automation, and IoT.

In addition to technical expertise, I haveextensive experience in robotics education and competition management through my roles atIndia STEM Foundation andWorld Robot Olympiad (WRO) India. I am currentlyleading the ISF Certified STEM Teacher Training Program, where I have developed a4-hour training module to educate 1,000+ teachers on STEM learning and a30-period STEM curriculum for schools. As aLead for WRO 2025, I overseecompetition planning, event execution, quality assurance, and technical training, ensuring a seamless experience for participants and educators.

Anactive IEEE member and participant in standards working groups, I am committed toresearch, development, and open-source collaboration in robotics and automation. Recognized for innovation with awards like theIEEE SPS Scholarship and accolades intechnical competitions, I continuously strive to design and implementcutting-edge solutions that bridge the gap between research and real-world applications.

selected publications

  1. 2nd Best Poster Award at IIT Ropar EE-Research Day 2024

    @poster{2PDFMind162:online,author={Shaw, Dhruva and Sengupta, Arittrabha and Khaple, Jay and Raam Dheep, Dr},year={2024},month=mar,title={Mind Controlled Bionic Arm with Sense of Touch},doi={10.13140/RG.2.2.19542.87361},location={IIT Ropar, Punjab, India},}
  2. @poster{2PDFMind16:online,author={Shaw, Dhruva and Khaple, Jay and Sengupta, Arittrabha},year={2023},month=oct,title={Mind Control Bionic Arm},doi={10.13140/RG.2.2.11164.46724},location={Lovely Professional University, India},journal={Research Gate},}
  3. 0 Google Scholar citations

    Advancements in bionic technology are transforming the possibilities for restoring hand function in individuals with amputations or paralysis. This paper introduces a cost-effective bionic arm design that leverages mind-controlled functionality and integrates a sense of touch to replicate natural hand movements. The system utilizes a non-invasive EEG-based control mechanism, enabling users to operate the arm using brain signals processed into PWM commands for servo motor control of the bionic arm. Additionally, the design incorporates a touch sensor (tactile feedback) in the gripper, offering sensory feedback to enhance user safety and dexterity. The proposed bionic arm prioritizes three essential features: Integrated Sensory Feedback; Mind-Control Potentia; Non-Invasive Nature. This novel approach aims to deliver an intuitive, natural, and efficient solution for restoring complex hand functions.

    @inproceedings{inproceedings,author={Shaw, Dhruva and Sengupta, Arittrabha and Khaple, Jay and Raam Dheep, Dr},year={2024},month=dec,day={20},pages={7-8},dimensions={true},title={Mind Controlled Bionic Arm with Sense of Touch},location={Novotel, Kolkata, India},publisher={Instituion of Engineers, India},journal={Book of Abstracts},url={https://www.researchgate.net/publication/387459720_Mind_Controlled_Bionic_Arm_with_Sense_of_Touch},google_scholar_id={2osOgNQ5qMEC},volume={39},issue={1},keywords={Bionic Arm, Mind Control, Sense of Touch, EEG, Servo Motor, Tactile Feedback},}
  4. 0 Google Scholar citations

    This paper proposes a novel decentralized control architecture for robotic swarms, inspired by social insect behavior. By enabling individual robots to dynamically select master-slave roles based on local information and optimize their performance using bio-inspired algorithms, this approach enhances swarm adaptability, robustness, and efficiency in tackling complex tasks across various domains.

    @inproceedings{conferencecatalystsllc_2024,title={Robotic Swarm With Independent Selection of Master-Slave Configuration},url={https://2024.ieeesyscon.org/authors/systems-council-student-event/},journal={Systems Conference 2024},author={Shaw, Dhruva},year={2024},month=apr,day={16},google_scholar_id={d1gkVwhDpl0C},keywords={Robotic Swarm, Decentralized Control, Master-Slave Configuration, Bio-inspired Algorithms, Social Insect Behavior},}
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