Shuaidong Yuan
Papers
1
Total Citations
12
H-Index
1
About
Shuaidong Yuan is a robotics researcher whose primary focus lies in the locomotion and gait planning of legged robots, with a particular emphasis on quadrupedal systems. His most cited work, "Crawling Gait Planning Based on Foot Trajectory Optimization for Quadruped Robot" (2019, 12 citations), addresses critical challenges in quadruped robot mobility, such as leg dragging, ground impingement, and obstacle climbing. Yuan’s key contribution is the development of a foot trajectory gait planning method based on a compound cycloid, which significantly enhances a robot’s ability to overcome obstacles. This innovative approach was implemented on a compact 12-degree-of-freedom quadruped robot, demonstrating practical improvements in stability and terrain adaptability. While his citation count reflects a focused, emerging impact, Yuan’s work is foundational for researchers seeking to optimize locomotion in constrained robotic systems. His research bridges the gap between theoretical trajectory optimization and real-world robotic applications, offering a scalable solution for improving the agility and robustness of quadruped robots in complex environments.
Research Focus
Key Achievements
Top Papers
- 1