Presentation | 2002/11/4 A Ping-pong Robot which Learn from Failure Yoshirou HATADA, Hiroyuki MIYAMOTO, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | It is one of the important subjects of robot learning that a robot applies trial-and-error method like human, and adapts itself to various situations flexibly. In this paper, we propose the learning algorithm for desired action from the past experiences including the failure. The ping-pong robot had the simulation performed for algorithm verification. The proper racket angle for rebounds the ball which flies from various position to the goal is not known. Then, we used the racket angle and the position where the ball was actually rebound into an input-and-output signal for the RBF network. The result of a simulation, the ball was rebounded to the goal. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Robot Learning / Neural Network / Radial Basis Function (RBF) / Learn from Failure |
Paper # | NC2002-71 |
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Committee | NC |
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Conference Date | 2002/11/4(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Ping-pong Robot which Learn from Failure |
Sub Title (in English) | |
Keyword(1) | Robot Learning |
Keyword(2) | Neural Network |
Keyword(3) | Radial Basis Function (RBF) |
Keyword(4) | Learn from Failure |
1st Author's Name | Yoshirou HATADA |
1st Author's Affiliation | Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology() |
2nd Author's Name | Hiroyuki MIYAMOTO |
2nd Author's Affiliation | Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology |
Date | 2002/11/4 |
Paper # | NC2002-71 |
Volume (vol) | vol.102 |
Number (no) | 430 |
Page | pp.pp.- |
#Pages | 5 |
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