Papers
2
Total Citations
12
H-Index
2
About
Zufeng Li is a robotics researcher whose work centers on the design and control of life support robots—autonomous systems intended to assist in critical care or emergency response environments. His major contributions lie in the development of novel omnidirectional mobile chassis structures and advanced trajectory tracking control algorithms. Notably, Li proposed a modular wheel-set design that enables independent drive and steering, significantly enhancing maneuverability in confined or complex spaces. To ensure robust performance under real-world disturbances, he integrated sliding-mode control with extended state observers, achieving precise trajectory tracking even in the presence of model uncertainties. His most cited paper (2024) has already garnered 7 citations, while his foundational work on event-triggered control for modular omnidirectional chassis (2023) has received 5 citations, reflecting growing interest in resilient, low-energy robotic platforms. Li’s research addresses a critical gap in life support robotics: the need for mobile systems that can navigate dynamic environments while maintaining stable, responsive control. His work is particularly relevant for students and researchers exploring mobile manipulation, nonlinear control theory, and human-robot interaction in safety-critical applications.
Research Focus
Key Achievements
Top Papers
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