標題: Intention Learning From Human Demonstration
作者: Chan, Hoa-Yu
Young, Kuu-Young
Fu, Hsin-Chia
資訊工程學系
電機工程學系
Department of Computer Science
Department of Electrical and Computer Engineering
關鍵字: intention learning;human demonstration;motion feature;robot imitation;skill transfer
公開日期: 1-May-2011
摘要: Equipped with better sensing and learning capabilities, robots nowadays are meant to perform versatile tasks. To remove the load of detailed analysis and programming from the engineer, a concept has been proposed that the robot may learn how to execute the task from human demonstration by itself Following the idea, in this paper, we propose an approach for the robot to learn the intention of the demonstrator from the resultant trajectory during task execution. The proposed approach, identifies the portions of the trajectory that correspond to delicate and skillful maneuvering. Those portions, referred to as motion features, may implicate the intention of the demonstrator. As the trajectory may result from so many possible intentions, it poses a severe challenge on finding the correct one's. We first formulate the problem into a realizable mathematical form and then employ the method of dynamic programming for the search. Experiments based on the pouring and also fruit jam tasks are performed to demonstrate the proposed approach, in which the derived intention is used to execute the same task under different experimental settings.
URI: http://hdl.handle.net/11536/8903
ISSN: 1016-2364
期刊: JOURNAL OF INFORMATION SCIENCE AND ENGINEERING
Volume: 27
Issue: 3
起始頁: 1123
結束頁: 1136
Appears in Collections:Articles


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