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Instruction-following in robot manipulation can be rigorously tested with InstructMove, revealing the true capabilities of VLA models beyond visual cues.
DreamWAM achieves up to 75.47% accuracy in unseen scenarios, showcasing that structured future state representations can dramatically enhance action model performance beyond traditional RGB methods.
