Minquan Du
Papers
1
Total Citations
6
H-Index
1
About
Minquan Du is at the forefront of rehabilitation robotics, with a focused expertise in developing intelligent lower limb exoskeletons for gait recovery. His research centers on the critical challenge of bridging human intent and machine action, particularly for patients with knee injuries resulting from strokes, spinal cord injuries, or cerebral palsy. Du’s most cited work, "Development of Lower Limb Exoskeleton Rehabilitation Robot Framework Based on Multi-Modal Motion Intent Detection," has already garnered significant early attention with 6 citations since its 2025 publication. This framework represents a major contribution by integrating multi-modal sensing to accurately detect a patient’s intended movement, enabling more natural and effective robotic assistance during gait training. By tackling the global rise in mobility impairments, Du’s innovations promise to make robotic rehabilitation more adaptive and accessible. His work stands as a vital step toward personalized, responsive therapy, positioning him as a key emerging voice in the field of medical robotics.
Research Focus
Key Achievements
Top Papers
- 1