CASD: Chunk-Aligned Semantic Distillation for Multi-StageRobot Manipulation
This work introduces Chunk-Aligned Semantic Distillation (CASD), which derives semantic targets for entire action chunks from the current observation, robot state, and task instruction, and freezes the generator to train a policy conditioned on its predictions.
Ting-He Ding, Jia-Hao Li, He Wang
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