About

Suyang Yu is a robotics researcher whose work spans mobile robot design, motion control, and intelligent systems. His research has made significant contributions across several interconnected domains, most notably in tracked wheelchair robots, omnidirectional mobile platforms, and specialized climbing mechanisms. Yu's early career focused heavily on wheelchair robotics, where he developed innovative Variable Geometry Single Tracked Mechanisms (VGSTM) capable of actively adapting to complex terrain. His series of papers from 2010 to 2012 on stair-climbing stability, tip-over criteria, and track tension optimization laid important groundwork for assistive robot mobility, collectively accumulating over 50 citations. In parallel, he demonstrated surprising breadth by contributing to online game security, co-authoring a statistical aimbot detection method for FPS games that garnered 17 citations. More recently, Yu has turned his attention to omnidirectional mobile robots, developing fuzzy adaptive PID and active disturbance rejection control strategies that address the inherent instability of Mecanum and MY3 wheel platforms. His 2022 paper on fuzzy adaptive PID control became his most cited work with 61 citations, reflecting growing community interest in intelligent motion control. His design of a modular rope-climbing robot further demonstrates his versatility as a mechanical systems engineer.

Research Focus

Key Achievements

8
H-Index
26
Papers
250
Total Citations
10
Avg Citations/Paper
🏆 Most Cited Paper
Fuzzy adaptive PID control method for multi-mecanum-wheeled mobile robot
61 citations · 2022
📈 Most Prolific Year: 2022 (4 Papers)
🤝 Key Collaborators: 55
🏛 Institutions: Shenyang Aerospace University, Shenyang Institute of Automation, Newcastle University, Shenyang University of Technology

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago