Papers
6
Total Citations
55
H-Index
4
About
Dr. Weifeng Wu is a leading researcher in rehabilitation robotics, specializing in intelligent systems that restore motor function for stroke survivors. His work bridges robotics, human-computer interaction, and clinical therapy, focusing on three key areas: compensation detection, adaptive control, and assistive interfaces. Wu’s most impactful contribution is his pioneering work on real-time compensation detection during robotic rehabilitation, as demonstrated in his 2020 study (25 citations), which introduced an online system to automatically identify and reduce harmful compensatory movements during reaching tasks—a critical step toward improving long-term recovery outcomes. He has also advanced data-driven control methods, such as iterative feedback tuning for pneumatic artificial muscles (13 citations), enabling model-free adaptive control of flexible actuators used in rehabilitation robots. Additionally, Wu has developed shared-control systems integrating brain-machine interfaces and computer vision (6 citations) to empower stroke patients with mobility assistance. His vision-based compensation detection approach (2021) further simplifies clinical setups, making rehabilitation more accessible. With over 55 total citations across his top papers, Wu’s work is shaping the future of personalized, intelligent rehabilitation technology.
Research Focus
Key Achievements
Top Papers
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