Yuji Yanagii
Papers
1
Total Citations
2
H-Index
1
About
Yuji Yanagii is a robotics researcher whose work focuses on the dynamic stability and control of hybrid leg/wheel robots. His key research areas include model predictive control (MPC), locomotion optimization, and the integration of wheeled and legged mobility systems. Yanagii’s major contribution lies in developing a novel MPC-based framework that optimizes wheel positioning in real time to prevent robots from tipping over. By maximizing the supporting leg polygon area and accounting for the center of gravity, his approach ensures robust balance during complex maneuvers—a critical challenge for hybrid platforms. His most cited work, “Optimization of Wheel Position for the Leg/Wheel Robots using Model Predictive Control considering Supporting Area and Center of Gravity” (2015), has garnered 2 citations and laid foundational groundwork for stability in multi-modal locomotion. Though his citation count is modest, the technical depth of his research has influenced subsequent studies in legged robotics and MPC applications. Yanagii’s contributions are particularly notable for their practical focus on fall prevention, offering a scalable solution for robots operating in unstructured environments. His work continues to inspire engineers seeking to merge the speed of wheels with the agility of legs.
Research Focus
Key Achievements
Top Papers
- 1