Learning action models for the improved execution of navigation plans

Author:

Belker Thorsten,Beetz Michael,Cremers Armin B.

Publisher

Elsevier BV

Subject

Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference25 articles.

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3. L. Kaelbling, A. Cassandra, J. Kurien, Acting under uncertainty: Discrete Bayesian models for mobile-robot navigation, in: Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Osaka, Japan, 1996.

4. R. Simmons, S. Koenig, Probabilistic robot navigation in partially observable environments, in: Proceedings of the 14th International Joint Conference on Artificial Intelligence (IJCAI-95), Montreal, Quebec, 1995, pp. 1080–1087.

5. S. Thrun, A. Buecken, W. Burgard, D. Fox, T. Fröhlinghaus, D. Hennig, T. Hofmann, M. Krell, T. Schmidt, AI-based Mobile Robots: Case Studies of Successful Robot Systems, Ch. Map Learning and High-Speed Navigation in RHINO, MIT Press, Cambridge, MA, 1998.

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