Weixin Yan
Papers
1
Total Citations
2
H-Index
1
About
Weixin Yan is a robotics researcher advancing the frontier of locomotion and manipulation for wheel-legged robots. Their work focuses on whole-body control, optimization-based planning, and hierarchical frameworks that enable dynamic, stable, and adaptive motion in complex environments. Yan’s most-cited paper, “Hierarchical Optimization-Based Hybrid Whole-Body Control for Wheel-Legged Robots” (2025), introduces a novel control architecture that integrates high-level trajectory optimization with low-level torque control, allowing robots to seamlessly transition between wheeled and legged gaits while maintaining balance and agility. This contribution addresses a critical challenge in mobile robotics—achieving both speed and terrain adaptability—and has already garnered early citations, signaling its potential impact on the field. Yan’s research is particularly notable for its practical emphasis on real-time implementation and robustness, bridging the gap between theoretical control theory and deployable robotic systems. As a rising scholar, Yan is shaping the next generation of hybrid locomotion, with implications for search-and-rescue, exploration, and service robotics. Their work continues to inspire students and researchers interested in the intersection of optimization, control, and embodied intelligence.
Research Focus
Key Achievements
Top Papers
- 1