発表番号P-4
発表タイトル Features Set Refinement in Programming by Demonstration
筆者氏名・所属 Hoai Luu-Duc(豊橋技術科学大学)
Jun Miura(豊橋技術科学大学)
アブストラクト Feature selection is an essential part of representing the task in robot learning. With a relevant set of features,the robot can not only have a better performance but also decrease the learning cost. In this work,the feature selection method is proposed to help the robot determine which subset of the features is relevant to represent a task in Programming by Demonstration framework. We implement an experiment system for human-robot interaction in simple task as proofing our concept as well as showing the preliminary results
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