First step of URobotics into humanoid robotics — the beginning of our journey in the real world. Powered by deep reinforcement learning, our controller achieves stable walking across stairs, slopes, and uneven terrain using only proprioceptive feedback. Importantly, we use a single policy without switching for stairs or flat ground, and no real-world data is involved during policy training. Beyond simulation, these results on a humanoid robot highlight the potential for practical and resilient locomotion, and we expect this approach to be applicable to a wide range of robots in the future. 영상: Youtube

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