Preprint
Sep 2026
In-Context Robot Learning with VLM Agents
GPT-Policy is introduced, a general-agent framework for in-context robot learning that integrates a context compiler that preserves task-relevant visual transitions, a VLM that proposes robot-tool actions, and a constrained controller that verifies and executes each action and reports its outcome.
Dong-Zhou Cheng, Taoran Yi, Ye Fang et al.
· 15 citations
· ⚡4