Author:
Senda Kei, ,Kondo Takayuki,Iwasaki Yoshimitsu,Fujii Shinji,Fujiwara Naofumi,Suganuma Naoki
Abstract
It is difficult for robots to achieve tasks contacting environment due to error between the controller models and the real environment. To solve this problem, we propose having a robot autonomously obtains proficient robust skills against model error. Numerical simulation and experiments using an autonomous space robot demonstrate the feasibility of our proposal in the real environment.
Publisher
Fuji Technology Press Ltd.
Subject
Electrical and Electronic Engineering,General Computer Science
Reference15 articles.
1. K. Senda, “An Approach to Autonomous Space Robots,” Systems, Control and Information, Vol.45, No.10, pp. 593-599, 2001 (in Japanese).
2. R. S. Sutton and A. G. Barto, “Reinforcement learning: An introduction,” MIT Press, Cambridge, MA, 1998.
3. D. P. Bertsekas and J. N. Tsitsiklis, “Neuro-Dynamic Programming,” Athena Scientific, 1996.
4. S. Fujii, K. Senda, and S. Mano, “Acceleration of Reinforcement Learning by Estimating State Transition Probability Model,” Trans. Society of Instrument and Control Engineers, Vol.42, No.1, pp. 47-53, 2006 (in Japanese).
5. K. Senda, Y. Murotsu, A. Mitsuya, H. Adachi, S. Ito, J. Shitakubo, and T. Matsumoto, “Hardware Experiments of A Truss Assembly by An Autonomous Space Learning Robot,” AIAA J. Spacecraft and Rockets, Vol.39, No.2, pp. 267-273, 2002.
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