Yechen Qin
Papers
3
Total Citations
81
H-Index
2
About
Yechen Qin is a leading researcher in autonomous vehicle systems and mobile robotics, with a focus on integrating decision-making and control for complex, unstructured environments. His major contributions include pioneering a combined decision and control scheme for autonomous vehicles using adaptive model predictive control, which challenges the traditional separation of planning and control in robotics—a distinction he argues is critical for real-world autonomous driving. This work, published in 2022, has already garnered 57 citations, reflecting its impact on the field. Qin also advanced path-planning for nonholonomic terrain robots by developing a single-time velocity estimator integrated with reinforcement learning and chaotic metaheuristic optimization, enabling dynamic obstacle avoidance (22 citations). Most recently, his 2025 paper introduces the 4SWLR framework, a whole-body control system for wheeled-legged robots that merges skid-steering with legged locomotion for superior obstacle-crossing. This innovative work bridges bio-inspired design and practical robotics, positioning Qin as a key figure in next-generation autonomous mobility.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3