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Structural Improvement Filtering Strategy for PRM

Roger Pearce, Marco Morales, Nancy M. Amato

Year
2008
Citations
9
Access
Open access

Abstract

Sampling based motion planning methods have been highly successful in solving many high degree of freedom motion planning problems arising in diverse application domains such as traditional robotics, computer-aided design, and computational biology and chemistry. Recent work in metrics for sampling based planners provide tools to analyze the model building process at three levels of detail: sample level, region level, and global level. These tools are useful for comparing the evolution of sampling methods, and have shown promise to improve the process altogether [15], [17], [24].

Keywords

Computer science

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