Author

Yi-Ze Liu

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Preprint Sep 2026

T$^2$Mem: Learning Test-Time Memory for Robotics

Memory-dependent robotic manipulation requires policies to use information that is no longer available in the current observation. Retaining history alone is insufficient: memory must preserve information that supports future actions. One challenge is whether a memory-free foundation model can learn to retain and use h...

Yi-Ze Liu, Huang Huang, Yi-Ning Hong et al. · 0 citations

Preprint Sep 2026

ECoMEM: Explicit Concept Memory for Memory-Dependent Robot Control

A robot may lose sight of an object it must later retrieve, need to recall what a person demonstrated earlier, or track which steps of a task it has already completed. Current vision-language-action (VLA) policies often fail once the information needed for action disappears from the current observation, making memory c...

Yi-Ze Liu, Ke Wang, Mac Schwager et al. · 0 citations