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UniMPA: A Unified Memory-Prediction-Action Model via Action-Grounded Transition Modeling
Recent advances in Vision-Language-Action (VLA) models have improved robotic manipulation, yet observation-to-action learning remains limited by a fundamental transition realizability gap, manifested in three tightly coupled problems: (i) Transition ambiguity. Visually similar current observations m
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