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PRIMO: Prior-Informed Odometry from Human-Motion Tracking for Humanoid Robots
Simulation-trained humanoid proprioceptive odometry faces two transfer challenges: training trajectories generated by specific robot control policies intended for deployment cover only a limited range of motions, while sim-to-real mismatch can make unconstrained predictions unreliable. We address bo
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