Zhaofeng Chen
Papers
1
Total Citations
5
H-Index
1
About
Zhaofeng Chen is a robotics researcher specializing in the control and human-robot interaction of lower limb exoskeletons. His work focuses on developing intelligent, adaptive control strategies that enable exoskeletons to move seamlessly with their wearers—a concept known as "transparency." Chen’s most cited paper, "Lower Limb Exoskeleton Hybrid Phase Control Based on Fuzzy Gain Sliding Mode Controller" (2018), introduces a novel hybrid control approach that combines fuzzy logic with sliding mode control to dynamically adjust to different phases of human gait. This work addresses a critical challenge in wearable robotics: ensuring that the exoskeleton assists movement without hindering the user’s natural motion. By reducing muscle fatigue and improving collaboration between human and machine, Chen’s research has practical implications for rehabilitation, military applications, and heavy-load industries. Though his citation count is still growing, his contributions are foundational for researchers exploring human-machine interaction and robust control in assistive devices. Chen’s work stands out for its focus on real-time adaptability, making exoskeletons safer and more intuitive for everyday use.
Research Focus
Key Achievements
Top Papers
- 1