AI RESEARCH
NoTVLA: Semantics-Preserving Robot Adaptation via Narrative Action Interfaces
arXiv CS.CV
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ArXi:2510.03895v2 Announce Type: replace-cross Vision-Language-Action (VLA) models represent a pivotal advance in embodied intelligence, yet they confront critical barriers to real-world deployment, most notably catastrophic forgetting. This issue stems from their overreliance on continuous action sequences or action chunks, which inadvertently create isolated data silos that disrupt knowledge retention across tasks.