Manifold Generative Annealing for Contact Constraint-aware Impedance Control with Reinforcement Learning Prior

Contact-rich robotic tasks require coordinated motion and impedance under uncertain interaction dynamics and physical constraints. While recent methods on learned policies provide useful interaction strategies, they may fail when contact conditions differ from those encountered during training. Mode