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Xinyang Gu

1 accepted papers

2024

Advancing Humanoid Locomotion: Mastering Challenging Terrains with Denoising World Model Learning

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Humanoid robots, with their human-like skeletal structure, are especially suited for tasks in human-centric environments. However, this structure is accompanied by additional challenges in locomotion controller design, especially in complex real-world environments. As a result, existing humanoid rob…