A robot estimates an object's center of mass by combining two uncertainty-guided force-torque measurements, showing zero-shot transfer to unseen real-world objects.
A Practical Bayesian Framework for Backpropa- gation Networks,
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Learning to Double Guess: An Active Perception Approach for Estimating the Center of Mass of Arbitrary Objects
A robot estimates an object's center of mass by combining two uncertainty-guided force-torque measurements, showing zero-shot transfer to unseen real-world objects.