Presentation | 2005/11/12 A Bipedal Robot Using Control System to Imagine and Learn Takurou KAWANO, Hirokazu YOKOI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | The human and primates imagine the best motion and do trial and error by the simulation in the brain when complicated motion. Moreover, they become possible to do the best real motion by learning the imaged motion at the same time. The purpose of this research is to imitate the simulation in brain and the learning ability, and to propose the control system that learn the motion while imagining the walking pattern which reaches the purpose and to apply it to a bipedal robot. This control system is composed of two networks to image motion and to learn it. The neuron network learned the result of imagined motion that uses CPG and GA and the effectiveness of this control system was suggested. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Simulation in Brain / Bipedal Robot / CPG / GA / Neural Network / Volterra Neuron |
Paper # | NC2005-76 |
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Committee | NC |
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Conference Date | 2005/11/12(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 Bipedal Robot Using Control System to Imagine and Learn |
Sub Title (in English) | |
Keyword(1) | Simulation in Brain |
Keyword(2) | Bipedal Robot |
Keyword(3) | CPG |
Keyword(4) | GA |
Keyword(5) | Neural Network |
Keyword(6) | Volterra Neuron |
1st Author's Name | Takurou KAWANO |
1st Author's Affiliation | Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology() |
2nd Author's Name | Hirokazu YOKOI |
2nd Author's Affiliation | Graduate School of Life Science and Systems Engineering, Kyushu Institute of Technology |
Date | 2005/11/12 |
Paper # | NC2005-76 |
Volume (vol) | vol.105 |
Number (no) | 419 |
Page | pp.pp.- |
#Pages | 4 |
Date of Issue |