Wen‐Lan Wu
Papers
2
Total Citations
113
H-Index
2
About
Wen-Lan Wu is a distinguished researcher whose work bridges rehabilitation engineering and human-robot interaction. Her primary research areas include stroke rehabilitation, robotic-assisted therapy, and intelligent control systems for human-robot collaboration. Wu's most significant contribution is her pioneering 2007 study on robot-aided bilateral force-induced isokinetic arm training combined with conventional rehabilitation for chronic stroke patients, which has garnered 107 citations and demonstrated that robotic interventions can significantly improve upper limb motor function—a finding that has influenced clinical rehabilitation protocols worldwide. She also advanced gesture recognition technologies for human-robot interactive control, as evidenced by her 2018 work on robot soccer, showcasing her versatility in applying machine learning to real-time robotic systems. Wu's research has been instrumental in demonstrating how robotic assistance can enhance neuroplasticity and motor recovery, making her a key figure in the growing field of rehabilitation robotics. Her work continues to inspire new approaches to integrating technology with patient-centered care, particularly for those recovering from neurological injuries.
Research Focus
Key Achievements
Top Papers
- 1
- 2