Robots that Collaborate: Sequential Asymmetric Imitation
Learning to wait, yield, and recover as a partner changes the task.
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From motion planning and human contact to memory and multi-robot interaction, these papers follow one question: how can a robot act without losing sight of what — or who — its next action affects? These are selected works; the full research history is on Scholar.
Learning to wait, yield, and recover as a partner changes the task.
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Carrying evidence forward when the clue has already left the scene.
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Giving hands and feet a shared language for contact, reach, and motion.
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Finding the passage before searching the high-dimensional motion space.
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A tapered connector turns imperfect alignment into a reliable assembly step.
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Predicting human intent while optimizing motion around real contact.
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