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题名: An event-based adaptive tactic coordination in tele-operating human-machine interactions using Hybrid Q-learning
作者: Zheng YH(郑云辉) ; Zhang WL(张纹霖) ; Wang YC(王越超) ; Xi N(席宁)
作者部门: 机器人学研究室
会议名称: IEEE International Conference on Robotics and Biomimetics (ROBIO 2007)
会议日期: December 15-18, 2007
会议地点: Sanya, China
会议主办者: IEEE Robot & Automat Soc, Shandong Univ, Chinese Univ Hong Kong, Chiba Inst Technol, Robot Soc Japan, Soc Instrument & Control Engn, Japan Soc Mech Engn, ROBIO Fdn
会议录: 2007 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS, VOLS 1-5
会议录出版者: IEEE
会议录出版地: NEW YORK
出版日期: 2007
页码: 291-296
收录类别: CPCI(ISTP) ; EI
ISBN号: 978-1-4244-1761-2
关键词: tele-operation ; event-driven ; coordination ; Hybrid Q-learning ; human-machine interaction
摘要: Internet based tele-operation systems utilize the ubiquitous connectivity and low cost bandwidth offered by the Internet to send commands and receive friendly feedback for tele-operating remote systems. In many scenarios for efficiency and task completion, the tactic coordination of human-machine and multi-robots are required. For this to be feasible there are several hurdles to be crossed including Internet type delays, uncertainties in the environment and uncertainties in the object manipulated. This paper proposes a general event-based adaptive tele-operation control mechanism that integrates machine learning to deal with such uncertainties. The mechanism was tested by experiments in tele-operation soccer robots system powered by the Hybrid Q-learning and the experimental results that confirmed this mechanism are presented.
产权排序: 1
内容类型: 会议论文
URI标识: http://ir.sia.cn/handle/173321/8565
Appears in Collections:机器人学研究室_会议论文

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