REMM: Revisable Embodied Memory for Manipulation
Overview
Source roundup from published reports. Claims below are attributed to their publishers, not independently verified. arXiv Robotics — research abstracts: REMM: Revisable Embodied Memory for Manipulation. This research proposes REMM, a supervisory memory layer for manipulation tasks that enables robots to retain and revise task-relevant history without retraining policies. By separating evidence history from task state an…
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Reported quantity · physical trials: 51 other · Basis not reported
“mory layer for a frozen G0.5 vision-language-action executor. REMM separates an append-only evidence history from revisable task state and explicitly links derived relations and completed conditions to their supporting facts. When accepted evidence changes a supporting fact, it withdraws dependent conclusions and schedules targeted recovery at verified skill boundaries without updating the executor. Across 51 physica”
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- arXiv Robotics — research abstractsREMM: Revisable Embodied Memory for Manipulation
This research proposes REMM, a supervisory memory layer for manipulation tasks that enables robots to retain and revise task-relevant history without retraining policies. By separating evidence history from task state and linking conclusions to supporting facts, REMM allows for targeted recovery after disturbances. Experimental results across 51 physical trials show improvements in task progress and sequence recall compared to baselines.
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