Trajectory planning of manipulator for a hitting task with autonomous incremental learning
You CY(由畅宇); Han JD(韩建达)
2007
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
关键词manipulator trajectory planning genetic algorithm incremental learning
页码1446-1450
中文摘要A new approach based on genetic algorithm (GA) and autonomous mental development for trajectory planning of robot manipulator is presented in this paper. The trajectory for the manipulator is optimized by the GA. To make the trajectory planning used in real time application, a developmental learning algorithm is proposed to generate an incremental hierarchical discriminating regression (IHDR) tree to form the mapping from the state space to the action space. Just like the human brain from infancy to adulthood, the algorithm develops its cognitive and behavioral skills through online learning from the samples obtained from the GA-based method. When the IHDR tree is generated, it can perform the trajectory planning in real time by retrieving in its knowledge database.
收录类别EI ; CPCI(ISTP)
产权排序1
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
语种英语
ISBN号978-1-4244-1761-2
WOS记录号WOS:000257065801086
内容类型会议论文
源URL[http://ir.sia.cn/handle/173321/8931]  
专题沈阳自动化研究所_机器人学研究室
推荐引用方式
GB/T 7714
You CY,Han JD. Trajectory planning of manipulator for a hitting task with autonomous incremental learning[C]. 见:IEEE International Conference on Robotics and Biomimetics (ROBIO 2007). Sanya, China. December 15-18, 2007.
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