Papers
1
Total Citations
36
H-Index
1
About
Sicheng Yin is a robotics researcher whose work centers on the modeling and control of legged and wheeled-bipedal robots, with a particular focus on achieving dynamic, stable locomotion. His most cited work, "Modeling and MPC-Based Pose Tracking for Wheeled Bipedal Robot" (2023, 36 citations), introduces a novel model predictive control (MPC) framework that leverages virtual model control to simplify the complex leg dynamics of a newly designed wheeled bipedal robot (WBR). This approach enables more versatile and robust pose tracking, directly addressing the challenge of balancing and maneuvering on two wheels. By decoupling the controller from the robot's specific leg structure, Yin's contribution offers a wider applicability for future WBR designs. His research is pivotal for advancing the agility and practicality of hybrid wheeled-legged robots, which promise superior mobility across varied terrains. With his innovative control strategies, Yin is helping to bridge the gap between theoretical robotics and real-world deployment in dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1Modeling and MPC-Based Pose Tracking for Wheeled Bipedal Robot36 citations · 2023