Evaluation of robot actions in a continuous state space and planning of action chains using tree structures
| Project/Area Number |
24500241
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Perception information processing/Intelligent robotics
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| Research Institution | Osaka Prefecture University |
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Principal Investigator |
Nakashima Tomoharu 大阪府立大学, 工学(系)研究科(研究院), 教授 (20326276)
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| Co-Investigator(Kenkyū-buntansha) |
AKIYAMA Hidehisa 福岡大学, 工学部, 助教 (20533201)
SEKI Hirosato 大阪大学, 基礎工学研究科, 助教 (10583693)
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| Project Period (FY) |
2012-04-01 – 2016-03-31
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| Project Status |
Completed (Fiscal Year 2015)
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| Budget Amount *help |
¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2014: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2013: ¥910,000 (Direct Cost: ¥700,000、Indirect Cost: ¥210,000)
Fiscal Year 2012: ¥2,340,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥540,000)
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| Keywords | RoboCup / エージェント / 機械学習 / ファジィ / ファジィシステム / 行動連鎖 / 知能ロボット / RoboCupサッカー |
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| Outline of Final Research Achievements |
We developed an evaluation method of action chains for robots that are generated in a continuous action space. The proposed method was shown its effectiveness through a series of computational experiments. The best action chains are searched for using a search tree representation. Furthermore, we proposed a strategy representation using kick distribution for optimizing team strategies.
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Report
(5 results)
Research Products
(30 results)
