# Paper analyzes agentic manipulation policies: AMP1 achieves 85.6% zero-shot success rate

- Source: arXiv cs.RO
- Published: 2026-11-09T05:00:00.000Z
- RoboHot: https://robohot.news/en/items/bbhqfyz55rz67rsmb9tbtgklf
- Original: https://arxiv.org/abs/2611.09892

## Summary

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.

## Why it matters

The paper reports zero-shot success rates and real-world trial data for a generalist AI model directly controlling a robotic arm, which can be compared with specialist policies such as VLA and WAM.