Renquan Lu
Papers
1
Total Citations
227
H-Index
1
About
Dr. Renquan Lu is a leading figure in rehabilitation robotics and intelligent control systems, whose work bridges the gap between human physiology and machine learning. His most influential research focuses on the development and adaptive control of robotic exoskeletons for physical assistance and rehabilitation, particularly for lower limb impairments. His seminal 2013 paper, "Development and Learning Control of a Human Limb With a Rehabilitation Exoskeleton," has garnered over 227 citations, establishing a foundational framework for motorized leg devices. In this work, Dr. Lu introduced a novel 4-degree-of-freedom exoskeleton with actuated hip, knee, and ankle joints operating in the sagittal plane, capable of applying forces and learning human impedance patterns in real time. This contribution not only advanced the design of assistive robotics but also pioneered learning-based control strategies that adapt to individual patient needs. His research has profound implications for neurorehabilitation, enabling more natural, responsive therapy for individuals with motor disabilities. Dr. Lu’s work continues to inspire innovations in human-robot interaction and personalized rehabilitation technologies.
Research Focus
Key Achievements
Top Papers
- 1