Generalization using properties of the real world and autonomous division of state-action space
Project/Area Number |
15K00316
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Research Category |
Grant-in-Aid for Scientific Research (C)
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Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Intelligent informatics
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Research Institution | Hosei University |
Principal Investigator |
ITO Kazuyuki 法政大学, 理工学部, 教授 (90346411)
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Project Period (FY) |
2015-04-01 – 2018-03-31
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Project Status |
Completed (Fiscal Year 2017)
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Budget Amount *help |
¥4,680,000 (Direct Cost: ¥3,600,000、Indirect Cost: ¥1,080,000)
Fiscal Year 2017: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2016: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2015: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
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Keywords | 汎化 / 柔軟性 / ソフトロボット / 柔軟ロボット / 多脚ロボット / 発見 / 学習 / 柔軟マニピュレータ |
Outline of Final Research Achievements |
In this study, we focus on properties of the real world, and we propose a framework to realize adaptive behavior of a robot using properties of the real world. In addition, we propose a learning algorithm to improve the behavior by dividing the sate-action space. As an example, we develop flexible robots, and an learning algorithm based on trial-and-error.
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Report
(4 results)
Research Products
(32 results)
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[Presentation] 三次元環境を移動可能な多脚型ロボット2016
Author(s)
齋藤 明日希,永山 和樹,本間 義大,青栁 龍志,佐藤 雄治,伊藤 一之,大道 武生,芦澤 怜史,松野 文俊
Organizer
計測自動制御学会システムインテグレーション部門講演会
Place of Presentation
札幌コンベンションセンター,(北海道札幌市)
Year and Date
2016-12-15
Related Report
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