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High-Frequency Replanning Under Uncertainty Using Parallel Sampling-Based Motion Planning

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As sampling-based motion planners become faster, they can be re-executed more frequently by a robot during task execution to react to uncertainty in robot motion, obstacle motion, sensing noise, and uncertainty in the robot's kinematic model. We investigate an... ...