Preprint
Sep 2026
MessyMem: Learning-from-Doing Memory for Mobile Manipulation
Mobile manipulators deployed across many rooms and visits should improve with experience: after discovering that a cabinet is locked or finding an object in a drawer, the robot should reuse that knowledge rather than start each task from scratch. Yet today's robots often treat each task as new: compact scene representa...
Anuva Banwasi, William Muckelroy, Priya Sundaresan et al.
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