Abstract
During the last few years, in an attempt to provide an efficient alternative to classical methods to designing robot control structures, the behaviour-based approach has emerged. Its success has largely been a result of the bottom-up development of a number of fast, tightly coupled control processes. This new approach, however, has some important limitations because of its lack of goal directedness and flexibility. This paper describes a self-improving control system that would deal with some of these problems. The system is based on two levels of arbitration, a local level which enables the robot to survive in a particular real-world situation, and a global level which ensures that the robot reactions be consistent with the required goal. Emphasis is put on the local arbitration level: it is shown how the local priorities can be computed and learnt and some simulation results are presented.
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References
Brooks, R. A. (1986) A robust layered control system for a mobile robot. IEEE Journal of Robotics and Automation, RA-2(1), 14–23.
Hamdi, M. S. (1995) A goal-oriented behaviour-based control architecture for autonomous mobile robots allowing learn-ing, in Proceedings of the Fourth European Workshop on Learning Robots, Kaiser, M. (ed.), Karlsruhe, Germany.
Hamdi, M. S. and Kaiser, K. (1997) Adaptable local level arbi-tration of behaviours, in Proceedings of the First International Conference on Autonomous Agents, Agents'97, Marina del Rey, CA, USA.
Kohonen, T. (1984) Self-Organization and Associative Memory, Springer Series in Information Sciences 8, Springer-Verlag, Heidelberg.
Lin, L.-J. (1992) Self-improving reactive agents based on rein-forcement learning, planning and teaching. Machine Learn-ing, 8(3/4), 293–321.
Nilsson, N. (1984) Shakey the robot. Technical Note 323, SRI AI center.
Sutton, R. S. (1990) Reinforcement learning architectures for animats, in Proceedings of the First International Conference on Simulation of Adaptive Behavior, Meyer, J.-A. and Wilson, S. W. (eds), MIT Press, Cambridge, Massachusetts.
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Hamdi, M.S., Kaiser, K. Adaptable arbitration of behaviours: some simulation results. Journal of Intelligent Manufacturing 9, 161–166 (1998). https://doi.org/10.1023/A:1008872013778
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DOI: https://doi.org/10.1023/A:1008872013778