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The embodiment gap reveals that even advanced robot foundation models require substantial adaptation to function on specific robotic platforms, challenging the assumption that scaling alone suffices for generalization.
TWINS revolutionizes manipulation learning by enabling robots to learn from body-surface contact, a previously overlooked aspect of human-robot interaction.
Correctable visual attention can drastically enhance robot manipulation performance, especially in unpredictable environments.