Zhiqiang Feng
Papers
1
Total Citations
20
H-Index
1
About
Zhiqiang Feng is a leading researcher in rehabilitation robotics, with a primary focus on the design and control of lower limb exoskeletons for patient recovery. His most cited work, "Design of a control framework for lower limb exoskeleton rehabilitation robot based on predictive assessment" (2022, 20 citations), introduces a novel control strategy that integrates predictive assessment algorithms to anticipate patient movement intentions. This contribution addresses a critical challenge in human-robot interaction: enabling exoskeletons to adapt dynamically to individual gait patterns, thereby improving therapy effectiveness and safety. Feng’s framework represents a significant step toward personalized, intelligent rehabilitation systems, bridging the gap between robotic assistance and clinical needs. His research has direct implications for stroke and spinal cord injury rehabilitation, offering a pathway to more responsive and autonomous assistive devices. With growing recognition in the field, Feng’s work is shaping the next generation of wearable robotic technologies, emphasizing user-centered design and real-time adaptability.
Research Focus
Key Achievements
Top Papers
- 1