中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
An improved Gilbert algorithm with rapid convergence

文献类型:会议论文

作者Chang, L; Qiao, H; Wan, AH; Keane, J
出版日期2006
会议名称IEEE/RSJ International Conference on Intelligent Robots and Systems
会议日期OCT 09-13, 2006
会议地点Beijing, PEOPLES R CHINA
关键词Gilbert algorithm nearest point collision detection
通讯作者Chang, L
英文摘要Gilbert algorithm is a very popular algorithm in collision detection in robotics and also in classification in pattern recognition. However, the major drawback of Gilbert algorithm is that in many cases it becomes very slow as it approaches the final solution and the vertices selection vibrates in these cases.

In this paper,

a) We prove theoretically that when the selection of vertices vibrates among several points, the algorithm will converge to the hyperplane determined by these points.

b) Based on the above results, an improved Gilbert algorithm for computing the distance between two convex polytopes is presented. The algorithm can avoid the slow convergence of the original one. Numerical simulation results demonstrate the effectiveness and advantage of the improved algorithm.
会议录2006 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-12
源URL[http://ir.ia.ac.cn/handle/173211/12854]  
专题自动化研究所_09年以前成果
推荐引用方式
GB/T 7714
Chang, L,Qiao, H,Wan, AH,et al. An improved Gilbert algorithm with rapid convergence[C]. 见:IEEE/RSJ International Conference on Intelligent Robots and Systems. Beijing, PEOPLES R CHINA. OCT 09-13, 2006.

入库方式: OAI收割

来源:自动化研究所

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