Stanford's Memory Anchors Solve Robot Catastrophic Forgetting
wightmanr · x · 2026-08-29
Researchers from Stanford and Toyota Research Institute introduce "Memory Anchors" to address catastrophic forgetting in continual robot learning. They found that a small, special subset of rehearsed data largely determines whether old behaviors are retained. Withholding just the top 10% of these anchors increases forgetting by 4.5x, while enriching the replay buffer with them reduces forgetting in high-conflict tasks by 63%. The method is validated on the LIBERO benchmark, VLA models, and real-world robot task suites.
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