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Saving Energy Consumption of Multi-robots Using Higher-Order Mobile Agents

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Agent and Multi-Agent Systems: Technologies and Applications (KES-AMSTA 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4496))

Abstract

This paper presents a framework for controlling intelligent robots connected by communication networks. This framework provides novel methods to control coordinated systems using higher-order mobile agents. Higher-order mobile agents are hierarchically structured agents that can contain other mobile agents. The combination of the higher-order mobile agent and mobile multi-robots open a new horizon of efficient use of mobile robot resources. Instead of physical movement of multi-robots, mobile software agents can migrate from one robot to another so that they can find the most suitably equipped and/or the most suitably located robots to perform their task. Thus the framework presented here provides efficient use of robot resources. In this paper, we focus on the energy saving. We have demonstrated the efficiency by numerical experiments.

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References

  1. Binder, W., Hulaas, J., Villazón, A.: Portable resource control in the j-seal2 mobile agent system. In: Proceedings of International Conference on Autonomous Agents, pp. 222–223 (2001)

    Google Scholar 

  2. Kambayashi, Y., Takimoto, M.: Higher-order mobile agents for controlling intelligent robots. International Journal of Intelligent Information Technologies 1(2), 28–42 (2005)

    Article  Google Scholar 

  3. Mizuno, M., Kurio, M., Takimoto, M., Kambayashi, Y.: Flexible and efficient use of robot resources using higher-order mobile agents. In: Proceedings of Joint Conference on Knowledge-Based Software Engineering 2006 (JCKBSE’06), pp. 253–262 (2006)

    Google Scholar 

  4. Pomerleau, D.A.: Defense and civilian applications of the alvinn robot driving system. In: Proceedings of 1994 Government Microcircuit Applications Conference, pp. 358–362 (1994)

    Google Scholar 

  5. Pomerleau, D.A.: Alvinn: An autonomous land vehicle in a neural network. In: Advances in Neural Information Processing System 1, pp. 305–313. Morgan Kaufmann, San Francisco (1989)

    Google Scholar 

  6. Murphy, R.R.: Introduction to AI robotics. MIT Press, Cambridge (2000)

    Google Scholar 

  7. Parker, L.E.: Aliance: An architecture for fault tolerant multirobot cooperation. IEEE Transaction on Robotics and Automation 14(2), 220–240 (1998)

    Article  Google Scholar 

  8. Pham, T.Q., Dixon, K.R., Jackson, J.R., Khosla, P.K.: Software systems facilitating self-adaptive control software. In: Proceedings of IEEE International Conference on Intelligent Robots and Systems, pp. 1094–1100 (2000)

    Google Scholar 

  9. Grabowski, R., Navarro-Serment, L.E., Paredis, C.J.J., Khosla, P.K.: Heterogeneous teams of modular robots for mapping and exploration. Autonomous Robots 8(3), 293–308 (2000)

    Article  Google Scholar 

  10. Stewart, D.B., Khosla, P.K.: 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)

    Article  Google Scholar 

  11. Satoh, I.: Mobilespaces: A framework for building adaptive distributed applications using a hierarchical mobile agent system. In: Proceedings of IEEE International Conference on Distributed Computing Systems, pp. 161–168 (2000)

    Google Scholar 

  12. Cardelli, L., Gordon, A.D.: Mobile ambients. In: Nivat, M. (ed.) FOSSACS 1998. LNCS, vol. 1378, pp. 140–155. Springer, Heidelberg (1998)

    Chapter  Google Scholar 

  13. Abadi, M., Cardelli, L.: A Theory of Objects. Springer, Heidelberg (1996)

    Book  MATH  Google Scholar 

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Ngoc Thanh Nguyen Adam Grzech Robert J. Howlett Lakhmi C. Jain

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© 2007 Springer-Verlag Berlin Heidelberg

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Takimoto, M., Mizuno, M., Kurio, M., Kambayashi, Y. (2007). Saving Energy Consumption of Multi-robots Using Higher-Order Mobile Agents. In: Nguyen, N.T., Grzech, A., Howlett, R.J., Jain, L.C. (eds) Agent and Multi-Agent Systems: Technologies and Applications. KES-AMSTA 2007. Lecture Notes in Computer Science(), vol 4496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72830-6_57

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  • DOI: https://doi.org/10.1007/978-3-540-72830-6_57

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-72829-0

  • Online ISBN: 978-3-540-72830-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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