Presentation 1994/1/21
Vision-Based Behavior Acquisition For A Shooting Robot By Using A Reinforcement Learning
Minoru Asada, Shoichi Noda, Koh Hosoda,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) We propose a method which acquires a purposive behavior for shooting a ball into the goal by using the Q-learning,one of the reinforcement learning methods.A mobile robot (an agent) does not need to know any parameters of the 3-D environment or its kinematics and dynamics.Information to tell the changes of the environment is only the image from a signal TV camera mounted on the robot.Only two parameters,the velocity and orientation are control commands to be learned.Image positions of the ball and the goal are used as the state variables which evaluate the effect of an action taken during the learning process.After the learning process,the robot tries to carry a ball near the goal and to shoot it.Both computer simulation and real robot experiments are shown.
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Keyword(in English) vision-based behavior acquisition / reinforcement learning / Q- learning / shooting behavior
Paper # PRU93-121
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Conference Information
Committee PRU
Conference Date 1994/1/21(1days)
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Registration To Pattern Recognition and Understanding (PRU)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Vision-Based Behavior Acquisition For A Shooting Robot By Using A Reinforcement Learning
Sub Title (in English)
Keyword(1) vision-based behavior acquisition
Keyword(2) reinforcement learning
Keyword(3) Q- learning
Keyword(4) shooting behavior
1st Author's Name Minoru Asada
1st Author's Affiliation Department of Mechanical Engineering for Computer-Controlled Machinery,Faculty of Engineering,Osaka University()
2nd Author's Name Shoichi Noda
2nd Author's Affiliation Department of Mechanical Engineering for Computer-Controlled Machinery,Faculty of Engineering,Osaka University
3rd Author's Name Koh Hosoda
3rd Author's Affiliation Department of Mechanical Engineering for Computer-Controlled Machinery,Faculty of Engineering,Osaka University
Date 1994/1/21
Paper # PRU93-121
Volume (vol) vol.93
Number (no) 431
Page pp.pp.-
#Pages 8
Date of Issue