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StereoPatch is introduced, a patch-aligned RGB-depth representation that binds registered metric geometry directly to the RGB patches used for action prediction and suggests that resolving control-relevant geometric ambiguity benefits from aligning depth directly with the visual features used for action prediction.
NestDex transforms how robots learn dexterous manipulation by enabling operators to focus on arm control while the system autonomously manages intricate finger movements.
TriManPolicy redefines robot control by allowing a single operator to seamlessly coordinate three arms, overcoming the limitations of traditional bimanual systems.
