Trajectory-based Diffusion from One-shot Human Video for Generalizable Manipulation
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摘自论文摘要
Imitation learning enables robots to perform complex tasks by leveraging human-collected demonstrations. However, most existing approaches require labor-intensive data collection with additional teleoperation systems, which hinders scalability.
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