Abstract
This paper presents a framework for controlling multiple robots connected by communication networks. Instead of making multiple robots pursue several tasks simultaneously, the framework makes mobile software agents migrate from one robot to another to perform the tasks. Since mobile software agents can migrate to arbitrary robots by wireless communication networks, they can find the most suitably equipped and/or the most suitably located robots to perform their task. In this paper, we propose a multiple robot control approach based on mobile agents for searching targets as one of the effective examples. Though it is a simple task, it can be extended to any other more practial examples, or be used as an element of a real application because of its simplicity. We have conducted two kinds of experiments in order to demonstrate the effectiveness of our approach. One is an actual system with three real robots, and the other is a simulation system with a larger number of robots. The results of these experiments show that our approach achieves reducing the total time cost consumed by all robots while suppressing the energy consumption.
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Binder, W.J., Hulaas, G., Villazon, A.: Portable resource control in the j-seal2 mobile agent system. In: Proceedings of International Conference on Autonomous Agents, pp. 222–223 (2001)
Kambayashi, Y., Takimoto, M.: Higher-order mobile agents for controlling intelligent robots. International Journal of Intelligent Information Technologies 1(2), 28–42 (2005)
Nagata, T., Takimoto, M., Kambayashi, Y.: Suppressing the total costs of executing tasks using mobile agents. In: Proceedings of the 42nd Hawaii International Conference on System Sciences. IEEE Computer Society CD-ROM (2009)
Abe, T., Takimoto, M., Kambayashi, Y.: Searching targets using mobile agents in a large scale multi-robot environment. In: O’Shea, J., Nguyen, N.T., Crockett, K., Howlett, R.J., Jain, L.C. (eds.) KES-AMSTA 2011. LNCS, vol. 6682, pp. 211–220. Springer, Heidelberg (2011)
Pomerleau, D.: Defense and civilian applications of the alvinn robot driving system. In: Proceedings of 1994 Government Microcircuit Applications Conference, pp. 358–362 (1994)
Pomerleau, D.: Alvinn: An autonomous land vehicle in a neural network. In: Advances in Neural Information Processing System 1, pp. 305–313. Morgan Kaufmann (1989)
Murphy, R.: Introduction to AI robotics. MIT Press, Cambridge (2000)
Parker, L.: Aliance: An architecture for fault tolerant multirobot cooperation. IEEE Transaction on Robotics and Automation 14(2), 220–240 (1998)
Nishiyama, H., Ohwada, H., Mizoguchi, F.: A multiagent robot language for communication and concurrency control. In: Proceedings of International Conference on Multi-Agent Systems, pp. 206–213 (1998)
Shapiro, E.: Concurrent Prolog: Collected Papers. MIT Press, Cambridge (1987)
Ueda, K.: Guarded Horn Clauses. PhD Thesis, University of Tokyo (1986)
Kambayashi, Y., Takimoto, M.: A functional language for mobile agents with dynamic extension. In: Negoita, M.G., Howlett, R.J., Jain, L.C. (eds.) KES 2004. LNCS (LNAI), vol. 3214, pp. 1010–1017. Springer, Heidelberg (2004)
Kambayashi, Y., Takimoto, M.: Scheme implementation of the functional language for mobile agents with dynamic extension. In: Proceedings of IEEE International Conference on Intelligent Engineering Systems, pp. 151–156 (2005)
Pham, T., Dixon, K.R., Jackson, J., Khosla, P.: Software systems facilitating self-adaptive control software. In: Proceedings of IEEE International Conference on Intelligent Robots and Systems, pp. 1094–1100 (2000)
Grabowski, R., Navarro-Serment, L., Paredis, C., Khosla, P.: Heterogeneous teams of modular robots for mapping and exploration. Autonomous Robots 8(3), 293–308 (2000)
Stewart, D., Khosla, P.: The chimera methodology: Designing dynamically reconfigurable and reusable real-time software using port-based objects. International Journal of Software Engineering and Knowledge Engineering 6(2), 249–277 (1996)
Satoh, I.: A mobile agent-based framework for active networks. In: Proceedings of IEEE System, Man and Cybernetics Conference, pp. 71–76 (1999)
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Nagata, T., Takimoto, M., Kambayashi, Y. (2013). Cooperatively Searching Objects Based on Mobile Agents. In: Nguyen, N.T. (eds) Transactions on Computational Collective Intelligence XI. Lecture Notes in Computer Science, vol 8065. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-41776-4_5
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DOI: https://doi.org/10.1007/978-3-642-41776-4_5
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