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An Efficient Motion Planner Based on Random Sampling

An Efficient Motion Planner Based on Random Sampling. Jean-Claude Latombe Computer Science Department Stanford University. Main Collaborators. Lydia Kavraki (Rice U.) David Hsu (U. of North Carolina, Chapel Hill) Gildardo Sanchez (ITESM, Mexico) James Kuffner (U. of Tokyo)

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Postpone collision - PowerPoint PPT Presentation

An Efficient Motion Planner Based on Random Sampling