AIMessyMem reportedly reaches 80% task progress across 25 tasks and 3-plus hours
MessyMem's website describes persistent memory that lets mobile manipulators learn from experience and reuse it across tasks. A project contributor says no single memory component is enough.
TLDR
A MessyMem contributor reports long-horizon mobile-manipulation results covering 25 tasks and 3-plus hours, with 80% task progress. They also report 58% on cluttered picking without keyframes and 43% on locked cabinets without interaction analysis. With scene graphs, interactions and keyframes together, the reported results were 84% and 99%, respectively.
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MessyMem reportedly reaches 80% task progress across 25 tasks and 3-plus hours
MessyMem's website describes persistent memory that lets mobile manipulators learn from experience and reuse it across tasks. A project contributor says no single memory component is enough.
TLDR
A MessyMem contributor reports long-horizon mobile-manipulation results covering 25 tasks and 3-plus hours, with 80% task progress. They also report 58% on cluttered picking without keyframes and 43% on locked cabinets without interaction analysis. With scene graphs, interactions and keyframes together, the reported results were 84% and 99%, respectively.