Yunhan Wang
Papers
1
Total Citations
2
H-Index
1
About
Yunhan Wang is a leading researcher in humanoid robotics, specializing in whole-body control, dynamic locomotion, and balancing strategies for bipedal systems. Their most-cited work introduces a novel momentum control framework that integrates linear quadratic state incremental walking pattern generation with a centroidal moment pivot balancing strategy, enabling humanoid robots to achieve stable, multi-task prioritized motion. By employing quadratic programming to manage constraints such as desired end-effector motions, joint limitations, and rate-of-change bounds, Wang’s approach addresses critical challenges in real-time whole-body coordination. This contribution has garnered attention in the robotics community, with their flagship paper accumulating citations that underscore its influence on advancing humanoid locomotion and balance control. Wang’s research bridges theoretical optimization and practical implementation, offering a robust foundation for future work in autonomous, dynamic walking robots. Their achievements highlight a commitment to solving complex, real-world robotic control problems, making them a key figure in the field of humanoid robotics and motion planning.
Research Focus
Key Achievements
Top Papers
- 1