論文

査読有り
2015年3月2日

Experimental Verification of Learning Strategy Fusion for Varying Environments

ACM/IEEE International Conference on Human-Robot Interaction
  • Akihiko Yamaguchi
  • ,
  • Masahiro Oshita
  • ,
  • Jun Takamatsu
  • ,
  • Tsukasa Ogasawara

02-05-March-2015
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
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
  • DOI : 10.1145/2701973.2702056
  • eISSN : 2167-2148
  • DBLP ID : conf/hri/YamaguchiOTO15
  • SCOPUS ID : 84969135158

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