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Vision-Language Grounded Task-Context-Aware Imitation Learning for Robotic Disassembly
Real-world robotic disassembly requires long-horizon execution, where robots must perform ordered sequences of manipulation tasks across multiple parts within a single scene. Multiple valid task goals and diverse assembly configurations make it difficult for imitation policies to infer the intended
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