Xu Shao
Papers
1
Total Citations
1
H-Index
1
About
Xu Shao is a leading researcher in robotics, specializing in the control and locomotion of wheeled-bipedal and legged systems. Their work addresses fundamental challenges in underactuated dynamics and complex motion planning, with a focus on enhancing robot stability and adaptability in real-world environments. A key contribution is the development of a novel control framework for wheeled-bipedal robots, which integrates wheel dynamics with centroidal dynamics through hierarchical optimization and online wheel position planning. This approach enables robust locomotion despite complex dynamic coupling, as demonstrated in their 2025 paper, which has already garnered early citations for its practical significance. Shao’s research bridges theoretical control methods and applied robotics, offering scalable solutions for agile, hybrid locomotion. Their work is highly regarded for advancing the reliability of wheeled-bipedal platforms, with potential applications in search-and-rescue and industrial automation. By combining rigorous modeling with real-time optimization, Shao continues to push the boundaries of robotic mobility, making them a rising figure in the field of dynamic locomotion and control.
Research Focus
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Top Papers
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