2015年3月2日
Experimental Verification of Learning Strategy Fusion for Varying Environments
ACM/IEEE International Conference on Human-Robot Interaction
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- 巻
- 02-05-March-2015
- 号
- 開始ページ
- 171
- 終了ページ
- 172
- 記述言語
- 掲載種別
- 研究論文(国際会議プロシーディングス)
- DOI
- 10.1145/2701973.2702056
- 出版者・発行元
- ACM
© 2015 Authors. We investigate a real robot applicability of our method, general-purpose behavior-learning for high degree-of-freedom robots in varying environments. Our method is based on the learning strategy fusion proposed in [3], and extended theo-retically in [4]. This report discusses its applicability to real robot systems, and demonstrates some positive experimen-tal results.
- リンク情報
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- DOI
- https://doi.org/10.1145/2701973.2702056
- DBLP
- https://dblp.uni-trier.de/rec/conf/hri/YamaguchiOTO15
- Scopus
- https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84969135158&origin=inward
- Scopus Citedby
- https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84969135158&origin=inward
- URL
- http://dblp.uni-trier.de/db/conf/hri/hri2015ea.html#conf/hri/YamaguchiOTO15
- ID情報
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- DOI : 10.1145/2701973.2702056
- eISSN : 2167-2148
- DBLP ID : conf/hri/YamaguchiOTO15
- SCOPUS ID : 84969135158