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ROBOT PROGRAMMING BY DEMONSTRATION FOR TASK IN CONTACT STATE
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作者 WangQin QianJun WangChunxiang YangRuqing 《Chinese Journal of Mechanical Engineering》 SCIE EI CAS CSCD 2004年第3期336-339,共4页
Robot programming by demonstration (PBD) system for task in which objectrequires contact with environment is built based on the controlling skill model. The skill isdescribed in three aspects: contact state classifier... Robot programming by demonstration (PBD) system for task in which objectrequires contact with environment is built based on the controlling skill model. The skill isdescribed in three aspects: contact state classifier, acquirement of contact states sequence andcontrolling transition between states. The classifier is developed with the support vector machineby using force sense. Sequence of states is obtained from the force signal of demonstration by theevent trigger. The velocity command of transition is achieved by linearization method. The PBDsystem is successfully built with robot controller with open architecture. 展开更多
关键词 ROBOT programming by demonstration Contact state Support vector machine
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Force Based Skill Learning for Robot Tasks in Contact Conditions
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作者 王琴 梅志千 +1 位作者 张广立 杨汝清 《Journal of Beijing Institute of Technology》 EI CAS 2004年第2期220-224,共5页
To acquire human operation skill based on force sense, element contact form (ECF) is proposed to describe contact condition firstly. The skill is modeled as a sequence of discrete ECFs. Since different ECF has differe... To acquire human operation skill based on force sense, element contact form (ECF) is proposed to describe contact condition firstly. The skill is modeled as a sequence of discrete ECFs. Since different ECF has different force distribution, a support vector machine classifier is built to identify the contact conditions according to the force signal. Finally, the robot can obtain the skill from the human demonstration. 展开更多
关键词 ROBOT contact state support vector machine (SVM) programming by demonstration (PBD)
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