Yvain de Viragh
Papers
4
Total Citations
473
H-Index
4
About
Yvain de Viragh is a robotics researcher specializing in motion planning, whole-body control, and trajectory optimization for wheeled-legged robotic systems. His work sits at the intersection of control theory and locomotion, addressing one of robotics' most compelling challenges: enabling robots to seamlessly combine the efficiency of wheeled driving with the versatility of legged walking. De Viragh's most influential contributions include pioneering hierarchical whole-body control frameworks for wheeled bipedal and quadrupedal robots. His 2020 paper on LQR-assisted whole-body control for the Ascento robot has garnered 179 citations, establishing foundational methods for handling complex kinematic loops in dynamic systems. His closely related work on wheeled quadrupedal locomotion strategies, cited 168 times, demonstrated how optimization frameworks can tightly integrate wheeled and legged degrees of freedom for dynamic, versatile movement. A companion trajectory optimization study, leveraging linearized zero-moment point constraints, has accumulated 106 citations and remains a key reference for the field. More recently, his 2023 work on nonsmooth trajectory optimization tackles the critical challenge of stair-climbing for balancing robots, pushing the boundaries of obstacle navigation. Collectively, de Viragh's research has profoundly shaped modern wheeled-legged robotics, providing both theoretical foundations and practical algorithms widely adopted by the research community.
Research Focus
Key Achievements
Top Papers
- 1LQR-Assisted Whole-Body Control of a Wheeled Bipedal Robot With Kinematic Loops179 citations · 2020
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