中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Hybrid navigation for a climbing robot by fuzzy neural network and trajectory planning

文献类型:会议论文

作者Jiang Y(姜勇); Zhao MY(赵明扬); Wang HG(王洪光); Fang LJ(房立金)
出版日期2005
会议名称4th International Conference on Machine Learning and Cybernetics
会议日期August 18-21, 2005
会议地点Canton, China
关键词hybrid navigation multi-sensor data fusion fuzzy neural network climbing robot
页码1069-1075
中文摘要In this paper, a hybrid navigation method for the autonomous control of a miniature climbing robot is presented. The method of navigation blends the optimality of the trajectory planning algorithm with the capabilities in expressing knowledge and learning of the fuzzy neural network. The actual task environment of the climbing robot is both known and dynamic. Therefore the trajectory planning is used to search roughly the optimal trajectories towards the goal based the priori data. Meanwhile, by the multi-sensor data fusion process, the fuzzy neural network is employed in dealing properly with the uncertain and dynamic situations. The experiment platform of the miniature climbing robot is also described in the paper. The properties of the hybrid navigation method are verified by the computer simulation.
收录类别EI ; CPCI(ISTP)
产权排序1
会议主办者IEEE Systems, Man & Cybernet TCC, Hong Kong Polytechn Univ, Hebei Univ, S China Univ Technol, Chongqing Univ, Sun Yatsen Univ, Harbin Inst Technol, Int Univ Germany
会议录Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9
会议录出版者IEEE
会议录出版地NEW YORK
语种英语
ISBN号0-7803-9091-1
WOS记录号WOS:000235325601075
源URL[http://ir.sia.cn/handle/173321/8732]  
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
Jiang Y,Zhao MY,Wang HG,et al. Hybrid navigation for a climbing robot by fuzzy neural network and trajectory planning[C]. 见:4th International Conference on Machine Learning and Cybernetics. Canton, China. August 18-21, 2005.

入库方式: OAI收割

来源:沈阳自动化研究所

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