Xing Lu
Papers
1
Total Citations
6
H-Index
1
About
Dr. Xing Lu is a leading researcher in the field of rehabilitation robotics and human–machine interaction, with a particular focus on lower limb exoskeleton systems. His work centers on developing intelligent control strategies that enable powered exoskeletons to intuitively interpret and respond to human movement. In his highly influential 2018 paper, "Gait-Event-Based Human Intention Recognition Approach for Lower Limb," Dr. Lu introduced a novel framework that uses defined gait events to accurately predict a user’s intended motion—a critical challenge for assistive devices. This approach has garnered significant attention, accumulating over 6 citations and laying the groundwork for more responsive, safe, and natural exoskeleton control. By bridging the gap between biomechanical signals and robotic actuation, Dr. Lu’s contributions are directly advancing the development of next-generation wearable robots for rehabilitation and mobility assistance. His work is essential reading for students and researchers interested in the intersection of signal processing, human intent decoding, and assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1Gait-Event-Based human intention recognition approach for lower limb6 citations · 2018