SOURCE-LINKED INTELLIGENCE
KnowDemo: Knowledge-Guided Robot Demonstration Generation from Human Videos
Learning robot manipulation policies typically requires substantial demonstration data, which are costly to collect on real robots. Recent methods generate robot demonstrations from human videos by adapting recovered motion and validating the resulting trajectories in simulation. However, methods centered on motion-reference adaptation can limit behavioral diversity by retaining the demonstrated contact strategies and subtask orders, while insufficient understanding of task requirements and scene relations can reduce demonstration generation efficiency by generating invalid candidates. To addr
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-18T02:19:13.000Z
First collected: 2026-09-23T14:01:59.594Z. This is not the publication date.