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EventSync: Event-driven memory updates for history-dependent robotic manipulation tasks

EventSync proposes a hierarchical framework with event-driven memory updates to address history-dependent manipulation tasks where the current observation alone is insufficient to determine the next action. A vision-language model generates subgoals based on the task plan and interaction history, while a vision-language-action model handles execution. A lightweight Event Monitor combines visual observations with end-effector trajectories to determine whether the current subgoal is complete; only after obtaining completion evidence does it write the completed subgoal into the history and trigger subsequent reasoning.

Part of the event: EventSync proposes event-driven memory update framework

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