Visibility-based probabilistic roadmaps for motion planning

被引:171
作者
Siméon, T [1 ]
Laumond, JP [1 ]
Nissoux, C [1 ]
机构
[1] CNRS, LAAS, F-31077 Toulouse, France
关键词
collision avoidance; path planning; motion planning; global planning; probabilistic roadmaps;
D O I
10.1163/156855300741960
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
This paper presents a variant of probabilistic roadmap methods (PRM) that recently appeared as a promising approach to motion planning. We exploit a free-space structuring of the configuration space into visibility domains in order to produce small roadmaps, called visibility roadmaps. Out algorithm integrates an original termination condition related to the volume of the free space covered by the roadmap. The planner has been implemented within a software platform allowing us to address a large class of mechanical systems. Experiments show the efficiency of the approach, in particular for capturing narrow passages of collision-free configuration spaces.
引用
收藏
页码:477 / 493
页数:17
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