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In the humanoid robotics field, a locomotion policy usually refers to a neural network model trained via reinforcement learning or imitation learning, which takes sensor inputs such as joint angles, IMU orientation, and foot contact forces, and outputs target positions or torques for each joint.
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10/12/2026
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