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Paper analyzes agentic manipulation policies: AMP1 achieves 85.6% zero-shot success rate
arXiv cs.RO
The paper proposes agentic manipulation policies (AMP), in which a generalist AI model directly controls a robotic arm and adjusts its actions as the task progresses. The authors' reference implementation, AMP1, runs unchanged across single-arm, bimanual, and mobile manipulation.
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