From VLM Planners to Robotic Agents: Self-Evolving Harnesses for History-Dependent Manipulation
Vision-language-action (VLA) models achieve strong performance across embodied manipulation tasks by unifying visual understanding, language conditioning, and action generation. However, long-horizon tasks can involve non-Markovian dependencies: successful decisions may require retaining task progress and past interact...