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JoyInside-VLM-Agent: Product-Conditioned Multimodal Policy Learning for Embodied Agents.

arXiv:2610.12957v1 Announce Type: cross Abstract: Embodied agents must translate multimodal observations and user requests into executable actions while adapting to product constraints, changing goals, and execution feedback. We present JoyInside-VLM-Agent, a

arXiv cs.AIResearch source·