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MemoryWAM: Efficient World Action Modeling with Persistent Memory
Yang 2026-06-18
Sizhe YangJuncheng MuTianming Wei
Robust robotic manipulation in the real world requires not only an understanding of the current observation, but also memory and dynamics modeling. World action models (WAMs) possess these capabilities by jointly modeling visual foresight and actions conditioned on both current and historical observations, making them a promising paradigm for robotic manipulation. However, existing WAMs face a fun
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Key Contributions
- Robust robotic manipulation in the real world requires not only an understanding of the current observation, but also memory and dynamics modeling.
- World action models (WAMs) possess these capabilities by jointly modeling visual foresight and actions conditioned on both current and historical observations, making them a promising paradigm for robotic manipulation.
- However, existing WAMs face a fun
Research Themes
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