RESAMPL: A Region-Sensitive Adaptive Motion Planner
作者： Samuel Rodriguez , Shawna Thomas , Roger Pearce , Nancy M. Amato
DOI: 10.1007/978-3-540-68405-3_18
关键词:
摘要: Automatic motion planning has applications ranging from traditional robotics to computer-aided design computational biology and chemistry. While randomized planners, such as probabilistic roadmap methods (prms) or rapidly-exploring random trees (rrt), have been highly successful in solving many high degree of freedom problems, there are still scenarios which we need better methods, e.g., problems involving narrow passages contain multiple regions that best suited different planners.
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