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papersSEP 10 04:00 UTC

Physically Grounded Proactive Modeling for Retail Agents from Sparse Third-Person Video

Researchers present a study on proactive agents that must both select actions and decide whether available evidence justifies acting. Using sparse third-person video in retail service scenarios, the approach grounds decisions in human-object interactions so agents can anticipate customer needs before an explicit request is made.

agents/decision-making/video/embodied-ai