EventSync: Event-Driven Memory Updates for History-Dependent Manipulation
We present EventSync, a hierarchical framework that coordinates task reasoning and action execution through event-driven memory updates.
ProofPaper ↗
Key points
- History-dependent robotic manipulation requires task context and interaction history, as the current observation alone is insufficient to determine the next action.
- Hierarchical frameworks use task memory for high-level subgoal reasoning and low-level policies for execution.
- A lightweight Event Monitor combines visual observations with end-effector trajectories to determine whether the current subgoal is complete.
- Experiments on four real-robot tasks with different memory requirements validate the framework's effectiveness in real-world robotic manipulation.
Sources (1)
- [1]EventSync: Event-Driven Memory Updates for History-Dependent ManipulationarXiv (AI, ML, NLP, CV, robotics, multi-agent) · Oct 20, 09:29 AM
We present EventSync, a hierarchical framework that coordinates task reasoning and action execution through event-driven memory updates.
History-dependent robotic manipulation requires task context and interaction history, as the current observation alone is insufficient to determine the next action.
Extractive summary: sentences quoted from the sources.
Before this
- Oct 20, 2026AgenticRoboRL: Bringing Coding-Agent Post-Training to Agentic Robotics
- Oct 20, 2026RoboCasa-Shift: Stage-Aware Robustness Evaluation of Vision-Language-Action Policies in Long-Horizon Household Manipulation
- Oct 20, 2026Not All Features Are Created Equal: A Mechanistic Study of Vision-Language-Action Models
- Oct 19, 2026PaceVLA: Adaptive Temporal Action Quantization in Vision-Language-Action Models
- Oct 19, 2026HandsOn: A Large-Scale Simulation Benchmark for Generalizable Dexterous Manipulation
- Oct 19, 2026Vision-Language-Delta-Action: Learning Compact Deltas as Actionable Transition Interfaces for Robotic Manipulation