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A Framework for Multi Robot Guidance Control

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Part of the book series:Lecture Notes in Computer Science ((LNAI,volume 5696))

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Abstract

In this paper we present a framework for path planning and path finding for multiple mobile robots with global vision. Our framework model considers the agents’ dynamic status and their environment with obstacles to perform given tasks. The global vision system provides feedback to main controller computer and mobile robots are directed towards to their tasks with avoiding obstacles and without any collision. Different kinds of scenario are prepared to simulate manipulating tasks and non-collision behavior with our framework. Experiment results with Lego Mindstorms NXT shows that our framework can be used where a multi robot system is needed with minimum resources.

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References

  1. Nabiyev, V.V.: Algoritmalar: Temelden Uygulamalara. Seçkin, Ankara (2007)

    Google Scholar 

  2. Amit’s Game Programming Information,http://www-cs-students.stanford.edu/~amitp/gameprog.html

  3. Ahmadzadeh, A., Jadbabaie, A., Kumar, V., Pappas, G.J.: Stable Multi-Particle Systems and Application in Multi-Vehicle Path Planning and Coverage. In: 46th IEEE Conference on Decision and Control, New Orleans (2007)

    Google Scholar 

  4. Dussutour, A., Deneubourg, J.L., Beshers, S., Fourcassie, V.: Priority rules govern the organization of traffic on foraging trails under crowding conditions in the leaf-cutting ant Atta colombica. Journal of Experimental Biology, 499–505 (2009)

    Google Scholar 

  5. Kolushev, F.A., Bogdanov, A.A.: Multi-agent optimal path planning for mobile robots in environment with obstacles. In: Bjorner, D., Broy, M., Zamulin, A.V. (eds.) PSI 1999. LNCS, vol. 1755, pp. 503–510. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  6. Michael, G., Kay, M.G., Luo, C.L.: Camera Placement for Global Vision. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (1992)

    Google Scholar 

  7. “Çok Silahşorlar” (Multi Musketeers in Turkish):A framework for multi mobile robot guidance control,http://code.google.com/p/coksilahsorlar

  8. Vlassis, N.: A Concise Introduction to Multi-Agent Systems and Distributed Artificial Intelligence. Morgan & Claypool (2007)

    Google Scholar 

  9. Stone, P.: Intelligent Autonomous Robotics: A Robot Soccer Case Study. Morgan & Claypool (2007)

    Google Scholar 

  10. Liu, J., Wu, J.: Multi-Agent Robotic Systems. CRC, Florida (2000)

    Google Scholar 

  11. Geramifard, A., Chubak, P., Bulitko, V.: Biased Cost Path finding. In: Proceedings of the Artificial Intelligence and Interactive Digital Entertainment conference (AIIDE), California, pp. 112–114 (2006)

    Google Scholar 

  12. Tavakoli, Y., Javadi, H.H.S., Adabi, S.: A Cellular Automata Based Algorithm for Path Planning in Multi-Agent Systems with A Common Goal. IJCSNS International Journal of Computer Science and Network Security (2008)

    Google Scholar 

  13. Patin, F.: An Introduction To Digital Image Processing (2003)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Mechatronics Engineering Department, Dokuz Eylül University, 35100, Bornova İzmir, Turkey

    Onur Keskin & Erol Uyar

Authors
  1. Onur Keskin

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  2. Erol Uyar

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Editor information

Editors and Affiliations

  1. Czech Technical University, Faculty of Electrical Engineering, Department of Cybernetics, 16627 Praha 6, Czech Republic and Rockwell Automation Research Center Prague, Pekařská 10a/695,, 15500, Prague 5,, Czech Republic

    Vladimír Mařík

  2. PROFACTOR GmbH, Im Stadtgut A2, 4407, Steyr-Gleink, Austria

    Thomas Strasser

  3. Automation and Control Institute, Vienna University of Technology, Karlsplatz 13, 1040, Vienna, Austria

    Alois Zoitl

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© 2009 Springer-Verlag Berlin Heidelberg

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Keskin, O., Uyar, E. (2009). A Framework for Multi Robot Guidance Control. In: Mařík, V., Strasser, T., Zoitl, A. (eds) Holonic and Multi-Agent Systems for Manufacturing. HoloMAS 2009. Lecture Notes in Computer Science(), vol 5696. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-03668-2_31

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