Episode Details

Proposes a unified RL policy that jointly learns force and position control in simulation without force sensors, enabling compliant behaviors and force-aware imitation learning. Includes a force estimator trained as an auxiliary task and integration with Diffusion Policy for contact-rich tasks on quadrupeds and humanoids.