Presentation | 2013-01-24 Control of the falling cat motion by using path-integral reinforcement learning Daichi NAKANO, Shin-ichi MAEDA, Shin ISHII, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The falling-cat motion is a motion for controlling the cat's posture under no existence of external force. To obtain a controller that emits such a motion is of practice, because of its applicability to controlling problems of various systems including space robots. It is not an easy task, however, because the cat's posture control is a nonholonomic system to which general state feedback control is hard to be applied. In this study, we propose an approach to use path integral reinforcement learning for identifying a control policy that is dependent on time but independent of system state. We will show that the proposed method can acquire such a control policy that achieves a goal state (a goal posture) of a dynamical system which models the cat's posture control, in an efficient manner. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Nonholonomic system / falling-cat motion / path integral reinforcement learning |
Paper # | NLP2012-107,NC2012-97 |
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Committee | NLP |
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Conference Date | 2013/1/17(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Nonlinear Problems (NLP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Control of the falling cat motion by using path-integral reinforcement learning |
Sub Title (in English) | |
Keyword(1) | Nonholonomic system |
Keyword(2) | falling-cat motion |
Keyword(3) | path integral reinforcement learning |
1st Author's Name | Daichi NAKANO |
1st Author's Affiliation | Department of System Science, Graduate School of Informatics, Kyoto University() |
2nd Author's Name | Shin-ichi MAEDA |
2nd Author's Affiliation | Department of System Science, Graduate School of Informatics, Kyoto University |
3rd Author's Name | Shin ISHII |
3rd Author's Affiliation | Department of System Science, Graduate School of Informatics, Kyoto University |
Date | 2013-01-24 |
Paper # | NLP2012-107,NC2012-97 |
Volume (vol) | vol.112 |
Number (no) | 389 |
Page | pp.pp.- |
#Pages | 6 |
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