Path planning in expansive configuration spaces

被引:0
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作者
Hsu, D
Latombe, JC
Motwani, R
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中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
We introduce the notion of expansiveness to characterize a family of robot configuration spaces whose connectivity can be effectively captured by a roadmap of randomly-sampled milestones. The analysis of expansive configuration spaces has inspired us to develop a new randomized planning algorithm. This algorithm tries to sample only the portion of the configuration space that is relevant to the current query, avoiding the cost of precomputing a roadmap for the entire configuration space. Thus, it is well-suited for problems where a single query is submitted for a given environment. The algorithm has been implemented and successfully applied to complex assembly maintainability problems from the automotive industry.
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页码:2719 / 2726
页数:8
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