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Impedance Cloning: Learning Equilibrium Point Parameters for Contact-Rich Manipulation
Contact-rich manipulation requires robots to regulate force against surfaces whose geometry deviates unpredictably from training conditions. Trajectory-based imitation learning, which reproduces observable outputs, breaks down under such shifts. We propose Impedance Cloning, which instead imitates t
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