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Articles

Computer Science > Robotics

|
By Ying Jie, Iok Tong
| arxiv.org
Open-ended tabletop manipulation requires agents to not only understand natural language but also adapt to dynamic environments and execution failures. We present ACE (Agentic Control for Embodied Manipulation), a zero-shot workflow reasoning framework for tabletop pick-and-place from natural language.
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