Simultaneous Design Method of the Sensory Morphology and Controller of Mobile Robots
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- Sugiura Komei
- Knowledge Creating Communication Research Center, National Institute of Information and Communications Technology ATR Spoken Language Communication Research Laboratories
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- Kawakami Hiroshi
- Graduate School of Informatics, Kyoto University
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- Katai Osamu
- Graduate School of Informatics, Kyoto University
Bibliographic Information
- Other Title
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- 移動ロボットにおけるセンサ形態と制御系の同時設計法
- イドウ ロボット ニ オケル センサ ケイタイ ト セイギョケイ ノ ドウジ セッケイホウ
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Abstract
This paper proposes a method that automatically designs the sensory morphology of a mobile robot. The proposed method employs two types of adaptations -ontogenetic and phylogenetic- to optimize the sensory morphology of the robot. In ontogenetic adaptation, reinforcement learning searches for the optimal policy which is highly dependent on the sensory morphology. In phylogenetic adaptation, a genetic algorithm is used to select morphologies with which the robot can learn tasks faster. Our proposed method is applied to the design of the sensory morphology of a line-following robot. We carried out simulation experiments to compare the design solution with a hand-coded robot. The results of the experiments revealed that our robot outperforms a hand-coded robot in terms of the line-following accuracy and learning speed, although our robot has fewer sensors than the hand-coded one. We also manufactured a physical robot using the design solution. The experimental results revealed that this physical robot uses its morphology effectively and outperforms the hand-coded robot.
Journal
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- IEEJ Transactions on Electronics, Information and Systems
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IEEJ Transactions on Electronics, Information and Systems 128 (7), 1154-1161, 2008
The Institute of Electrical Engineers of Japan
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Details 詳細情報について
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- CRID
- 1390001204605033472
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- NII Article ID
- 10021133185
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- NII Book ID
- AN10065950
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- ISSN
- 13488155
- 03854221
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- NDL BIB ID
- 9564417
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed