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Finger-grazing and palm-rolling aren't just fancy robot moves—they slash the number of tactile interactions needed for accurate 3D shape reconstruction by over a third, while boosting accuracy by more than half.
Achieve faster and more reliable robot motion planning by reactively switching between simplified models within a Nonlinear Model Predictive Control framework, guided by deep reinforcement learning.
