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News/Learning Motion Feasibility from Point Clouds in Cluttered Environments
arxiv
PublishedJune 26, 2026 at 4:00 AM

Learning Motion Feasibility from Point Clouds in Cluttered Environments

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arXiv:2606.26700v1 Announce Type: cross Abstract: Motion feasibility prediction plays a central role in robotics, particularly in task and motion planning and manipulation. A major bottleneck for this problem in cluttered environments is that infeasible planning attempts by Sampling-based motion pla

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