Learning Unified Force and Position Control for Legged Loco-Manipulation
Proposes a unified RL policy trained in simulation that jointly handles force and position control without force sensors, enabling compliant behaviors and improved force-aware imitation learning on quadrupedal and humanoid robots.
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