Yanglong Wang
Papers
2
Total Citations
13
H-Index
1
About
Dr. Yanglong Wang is a rising leader in rehabilitation robotics and human–machine interaction, with a focused research program on adaptive control systems for lower limb rehabilitation. His most cited work, "Adaptive patient-cooperative compliant control of lower limb rehabilitation robot" (2024, 12 citations), addresses a critical challenge in stroke rehabilitation: ensuring patient safety and comfort during robot-assisted training. By developing a compliant control framework that adapts to individual patient needs, Dr. Wang’s research directly supports the growing demand for effective, personalized robotic therapy. His more recent work, "Modeling and Analysis of Myoelectric Networks Based on Lower Limb Motor Synergies" (2025), introduces a novel analytical framework for understanding dynamic muscle synergy changes during movement—moving beyond traditional static extraction methods. This contribution is foundational for next-generation prosthetics and exoskeletons that can respond in real time to a user’s neuromuscular state. Though early in his career, Dr. Wang’s integration of adaptive control theory with biomechanical modeling positions him at the forefront of patient-cooperative rehabilitation technology, with clear potential to shape clinical practice and wearable robotics.
Research Focus
Key Achievements
Top Papers
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