Feeling the World Without a Force Sensor: UniFP for Legged Loco-Manipulation
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.
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