Abstract
We present a plan-based control architecture for intelligent robotic agents. Many modern robot architectures adopt a hybrid approach using control-theoretic mechanisms as well as plan-based mechanisms, because of their complementary strengths and weaknesses. Our three-layered control architecture implements dependability through plan-based management of a set of distributed independent behavioral components. With navigational tasks in a complex maze, we investigate robustness of our control architecture.
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References
Alami, R., Chatila, R., Fleury, S., Ghallab, M., Ingrand, F.: An Architecture for Autonomy. International Journal of Robotics Research, Special Issue on Integrated Architectures for Robot Control and Programming (1998)
Beetz, M.: Plan-Based Control of Robotic Agents: Improving the Capabilities of Autonomous Robots. Springer, Heidelberg (2002)
Bonet, B., Geffner, H.: Planning as Heuristic Search. Journal of Artificial Intelligence 129(1-2) (2001)
Gallien, G., Ingrand, F.: Planning and Plan Execution for Autonomous Robots. In: Proceedings of RFIA-06 (2006)
Hoffmann, J., Nebel, B.: The FF Planning System: Fast Plan Generation Through Heuristic Search. Journal of Artificial Intelligene Research, 253–302 (2003)
Huber, M.: JAM: A BDI-Theoretic Mobile Agent Architecture. In: Proceedings of the 3rd International Conference on Autonomous Agents, pp. 236–243 (1999)
Lee, J., Huber, M., Durfee, E., Kenny, P.: UM-PRS: An Implementation of the Procedural Reasoning System for Multirobot Applications. In: Proceedings of the Conference on Intelligent Robotics in Field, Factory, Service, and Space, pp. 842–849 (1994)
Verma, V., et al.: Survey of Command Execution Systems for NASA Spacecraft and Robots. In: Proceedings of the Workshop on Plan Execution, International Conference on Automated Planning and Scheduling, pp. 92–99 (2005)
Rao, A., Georgeff, M.: BDI-agents: from Theory to Practice. In: Proceedings of the 1st International Conference on Multiagent Systems, pp. 313–319 (1995)
Shin, H., Kim, I.: Design and Implementation of a Heuristic State-Space Planner. In: Proceedings of the Annual Conference of the Korea Information Science Society, pp. 112–115 (2006)
SONY: AIBO Software Development Environment, SDE (2006), http://openr.aibo.com
Simmons, R., Apfelbaum, D.: A Task Description Language for Robot Control. In: Proceedings of the Conference on Intelligent Robots and Systems, IROS (1998)
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Kim, I., Shin, H., Choi, J. (2007). A Plan-Based Control Architecture for Intelligent Robotic 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_58
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DOI: https://doi.org/10.1007/978-3-540-72830-6_58
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-72829-0
Online ISBN: 978-3-540-72830-6
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