Reactivity and Social Cooperation in a Multi-Robot System

Atef Gharbi, Nadhir Ben Halima, Hamza Gharsellaoui

2015

Abstract

Multi-Robot System (MRS) is an important research area within Robotics and Artificial Intelligence. The balancing between reactivity and social cooperation in autonomous robots is really considered as a challenge to get an effective solution. To do so, we propose to use the concept of five capabilities model which is based on Environment, Self, Planner, Competence and Communication. We illustrate our line of thought with a Benchmark Production System used as a running example to explain our contribution.

References

  1. Arkin, R. C. (1998). Behavior-based robotics. MIT Press, Cambridge MA.
  2. Bordini, R. and all. (2006). A survey of programming languages and platforms for multi-agent systems. Informatica, 30(1):33-44.
  3. Branislav Hrz, M. Z. (2007). Modeling and control of discrete-event dynamic systems with petri nets and other tools. page 67.
  4. Brooks, R. A. (1986a). A robust layered control system for a mobile robot. IEEE Journal of Robotics and Automation, 2:14-23.
  5. Brooks, R. A. (1986b). A robust layered control system for a mobile robot. In IEEE Journal of Robotics and Automation, 2.
  6. C. J. van Aart, B. J. W. and Schreiber, A. T. (2004). Organizational building blocks for design of distributed intelligent system. International Journal of HumanComputer Studies, 61(5):567599.
  7. Caire, G. (2009). Jade Tutorial: Jade Programming For Beginners.
  8. Chuan-Jun Su, C.-Y. W. (2011). Jade implemented mobile multi-agent based, distributed information platform for pervasive health care monitoring. Applied Soft Computing, 11(1):315-325.
  9. D. D. Steiner, A. Burt, M. K. and Lerin, C. (1993). The conceptual framework of mai2l. In Pre-Proceedings of MAAMAW'93, Neuchatel, Switzerland.
  10. David Jung, A. Z. (1999). An architecture for distributed cooperative planning in a behaviour-based multi-robot system. Robotics and Autonomous Systems, 26(23):149-174.
  11. Fabio Bellifemine, Giovanni Caire, T. T. G. R. (2010a). Jade Programmers Guide.
  12. Fabio Bellifemine, Giovanni Caire, T. T. G. R. R. M. (2010b). Jade Administrators Guide. The publishing company.
  13. Ferguson, I. A. (1992). Touring machines: An architecture for dynamic, rational, mobile agents. PhD thesis, Computer Laboratory, University of Cambridge, UK.
  14. Goodwin, J. (2008). A unified design framework for mobile robot systems. PhD Thesis. University of the West of England.
  15. Jianhua Dai, H. T. (2013). Fuzzy rough set model for setvalued data. Fuzzy Sets and Systems, 229(3):54-68.
  16. Kaelbling, L. P. (1990). An architecture for intelligent reactive systems. In J. Allen, J. Hendler, and A. Tate, editors, Readings in Planning, pages 713-728.
  17. Malik Ghallab, Dana Nau, P. T. (2004). Automated Planning.
  18. Malik Ghallab, Dana Nau, P. T. (2014). The actor's view of automated planning and acting: A position paper. Artificial Intelligence, 208(3):1-17.
  19. Marijana Gorjanac Ranitovi, A. P. (2014). Lattice representations of interval-valued fuzzy sets. Fuzzy Sets and Systems, 236:50-57.
  20. Mria Kukov, M. N. (2013). exclusion for fuzzy sets. 232(3):98-109.
  21. Muller, J. P. and Pischel, M. (1994). Integrating agent interaction into a planner-reactor architecture. In M. Klein, editor, Proc. of the 13th International Workshop on Distributed Artificial Intelligence, Seattle, WA, USA.
  22. Nilsson, N. J. (1980). Principles of artificial intelligence. Tioga Press, Palo Alto CA.
  23. Oscar Sapena, Eva Onaindia, A. G. M. A. (2008). Engineering applications of artificial intelligence. Some Fine Journal, 21(5):698-709.
  24. Pascal Forget, Sophie DAmours, J.-M. F. (2008). Multibehavior agent model for planning in supply chains: An application to the lumber industry. Robotics and Computer-Integrated Manufacturing, 24(5):664-679.
  25. Salvatore Vitabile, Vincenzo Conti, C. M. F. S. (2009). An extended jade-s based framework for developing secure multi-agent systems. Computer Standards & Interfaces, 31(5):913-930.
  26. Sergio Pajares Ferrando, E. O. (2013). Context-aware multi-agent planning in intelligent environments. Information Sciences, 227:22-42.
  27. Simmons, R. (1994). Structured control for autonomous robots. IEEE, 10(1):34-43.
  28. Tambe, M. (1997). Agent architectures for flexible, practical teamwork. Proceedings of the National Conference on AI, Providence, Rhode Island, USA, pages 22- 28.
  29. van Aart, C. J. (2004). Organization principles for multiagent architectures. PhD thesis, University of Amsterdam, Faculty of Social and Behavioural Sciences.
  30. Zadeh, L. A. (2008). Is there a need for fuzzy logic? Information Sciences, 178(13):2751-2779.
Download


Paper Citation


in Harvard Style

Gharbi A., Ben Halima N. and Gharsellaoui H. (2015). Reactivity and Social Cooperation in a Multi-Robot System . In Proceedings of the 10th International Conference on Software Engineering and Applications - Volume 1: ICSOFT-EA, (ICSOFT 2015) ISBN 978-989-758-114-4, pages 253-260. DOI: 10.5220/0005482202530260


in Bibtex Style

@conference{icsoft-ea15,
author={Atef Gharbi and Nadhir Ben Halima and Hamza Gharsellaoui},
title={Reactivity and Social Cooperation in a Multi-Robot System},
booktitle={Proceedings of the 10th International Conference on Software Engineering and Applications - Volume 1: ICSOFT-EA, (ICSOFT 2015)},
year={2015},
pages={253-260},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005482202530260},
isbn={978-989-758-114-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Conference on Software Engineering and Applications - Volume 1: ICSOFT-EA, (ICSOFT 2015)
TI - Reactivity and Social Cooperation in a Multi-Robot System
SN - 978-989-758-114-4
AU - Gharbi A.
AU - Ben Halima N.
AU - Gharsellaoui H.
PY - 2015
SP - 253
EP - 260
DO - 10.5220/0005482202530260