Xiangyu Shao
Papers
1
Total Citations
2
H-Index
1
About
Xiangyu Shao is a leading researcher in humanoid robotics, specializing in whole-body control, predictive dynamics, and robust locomotion. His work addresses a critical challenge: enabling humanoid robots to maintain stability and recover from disturbances on uneven terrains or after unexpected collisions. Shao’s most-cited paper, “Robustness and Push Recovery of Humanoid Robots Using Predictive and Whole-Body Control” (2024), introduces a hybrid control strategy that balances stability, motion safety, and walking agility—areas where prior methods often fell short. By integrating model predictive control with whole-body coordination, his approach enhances a robot’s ability to withstand pushes and navigate complex environments, advancing practical applications in disaster response and industrial automation. Though early in its citation trajectory, this work has already garnered attention for its innovative synthesis of theory and real-world testing. Shao’s contributions are pivotal for the next generation of resilient humanoid platforms, bridging the gap between laboratory research and deployment in unstructured settings. His ongoing efforts continue to push the boundaries of robotic robustness, making him a key figure in the field.
Research Focus
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Top Papers
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