Yunpeng Liang
Papers
1
Total Citations
2
H-Index
1
About
Yunpeng Liang is a robotics researcher whose work centers on the control and locomotion of wheel-legged robots—hybrid systems that combine the speed of wheels with the agility of legs. His most-cited paper, "Hierarchical Optimization-Based Hybrid Whole-Body Control for Wheel-Legged Robots" (2025), introduces a novel framework that integrates hierarchical optimization into whole-body control, enabling these robots to dynamically balance, traverse uneven terrain, and transition seamlessly between rolling and walking modes. This contribution addresses a critical challenge in mobile robotics: achieving robust, real-time control without sacrificing energy efficiency or stability. Though early in his career, Liang’s work has already garnered attention, with his flagship paper accumulating citations that signal growing impact in the field. His research bridges theoretical optimization and practical hardware implementation, offering a scalable solution for next-generation search-and-rescue, exploration, and service robots. By tackling the complex interplay between wheeled and legged dynamics, Liang is helping to define the future of versatile, all-terrain robotic platforms—a promising trajectory for any student or researcher interested in the cutting edge of locomotion control.
Research Focus
Key Achievements
Top Papers
- 1