Fast reinforcement learning algorithm for motion planning of non-holonomic autonomous underwater vehicle in disturbance

IEEE International Conference on Intelligent Robots and Systems

Volumn 1, Issue , 2002, Pages 903-908

  Kawano, Hiroshi ^a   Ura, Tamaki ^b  

^a UNIVERSITY OF TOKYO   (Japan)

^b INSTITUTE OF INDUSTRIAL SCIENCE   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DYNAMICS; EFFICIENCY; HIERARCHICAL SYSTEMS; MARKOV PROCESSES; MOBILE ROBOTS; MOTION PLANNING; OCEAN CURRENTS; ROBOT LEARNING; UNDERWATER PROBING; VELOCITY MEASUREMENT;

AUTONOMOUS UNDERWATER VEHICLE; BAYSIAN NETWORK; MARKOV DECISION PROCESS; NON-MARKOVIAN EFFECTS; Q LEARNING; REINFORCEMENT LEARNING ALGORITHMS; WATER CURRENTS;

LEARNING ALGORITHMS;

EID: 0036452997     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (9)

1. T.Ura, T.Obara, S. Takagawa, T. Gamo, "Exploration of Teishi Knoll by Autonomous Underwater Vehicle "R-One Robot"", Proceedings of IEEE OCEANS'01, pp 456-461, November 2001.
2. M. Vendittelli, J.P. Laumond. "Obstacle Distance for Car-Like Robots", IEEE Transactions on Robotics and Automation, Vol. 15, No. 4, pp.678-691, August 1999.
3. K.Ishii, T.Fujii, T.Ura "An on-line adaptation method in a neural network based control system for AUVs", IEEE Journal of Oceanic Engineering, Volume: 20 Issue: 3, pp 221-228 July 1995.
4. H. Kawano, T. Ura, "Motion Planning Algorithm for Non-Holonomic Autonomous Underwater Vehicle in Disturbance using Reinforcement Learning and Teaching Method", Proceedings of IEEE/ASME International Conference on Robotics and Automation, pp4032-4038, May, 2002.
5. K. Kim, T. Sutoh, T. Ura, T. Obara. "Route Keeping Control of AUV under Current by using Dynamics Model via CFD analysis", Proceedings of IEEE OCEAN'01, pp 417-422, November 2001.
6. R.S. Sutton, D. Precup, S. Singh. "Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning", Artificial Intelligence, Vol. 112, pp 181-211, August, 1999.
7. H. Kimura, S. Kobayashi. "Efficient Non-Linear Control by Combining Q-learning with Local Linear Controllers", Proceedings of 16th International Conference on Machine Learning, pp210-219, June, 1999.
8. T.M. Mitchell. Machine Learning, WCB/McGraw-Hill, 1997.
9. J. Pearl. Probabilistic Reasoning in Intelligent Systems, Morgan Kaufmann, CA 1988.