中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Motion Sensing Based Framework for Robot Manipulation

文献类型:会议论文

作者Hao Deng; Zeyang Xia; ShaokuiWeng; Yangzhou Gan; Peng Fang; Jing Xiong
出版日期2016
会议名称RCAR 2016
会议地点Angkor Wat, Cambodia
英文摘要To data, outside of controlled environments, robots have normally performed manipulation tasks when operated with human. This pattern requires operators with high technical skills training and targeted knowledge acquiring for varied teach-pendant operating system. Motion sensing technology, enabling human-machine interaction in a novel and natural user interface using gestures, crucial inspires us to adopt a user-friendly and straight-forward interaction mode on robot manipulation. Thus, in this paper, we presented a motion sensing based framework for robot manipulation, which recognizes gesture commands captured by motion sensing input device and drives the action of robots. For compatibility, a general hardware interface layer was also developed in the framework. Simulation and physical experiments have been conducted for preliminary validation. The results have shown that the proposed framework is an effective approach for general robot manipulation with motion sensing control.
收录类别EI
语种英语
源URL[http://ir.siat.ac.cn:8080/handle/172644/10535]  
专题深圳先进技术研究院_医工所
作者单位2016
推荐引用方式
GB/T 7714
Hao Deng,Zeyang Xia,ShaokuiWeng,et al. Motion Sensing Based Framework for Robot Manipulation[C]. 见:RCAR 2016. Angkor Wat, Cambodia.

入库方式: OAI收割

来源:深圳先进技术研究院

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