Papers
3
Total Citations
206
H-Index
3
About
Jianfu Yang is a leading researcher in wearable robotics and human–machine interaction, with a core focus on actuator design and intelligent control for lower-limb exoskeletons. His most influential work, on quasi-direct drive actuation for lightweight hip exoskeletons, has garnered over 165 citations and addresses a critical trade-off in the field: achieving high backdrivability and high bandwidth without sacrificing lightweight construction. By demonstrating that quasi-direct drive systems can outperform traditional series elastic actuators (SEAs) in both compliance and dynamic response, Yang has advanced the mechanical versatility of wearable robots. He has also contributed to the integration of artificial neural networks for real-time activity classification, gait phase estimation, and prediction—enabling more responsive and adaptive exoskeleton control. His research bridges mechanical engineering and machine learning, pushing toward practical, high-performance assistive devices. Yang’s work is widely recognized for its impact on rehabilitation and human augmentation, and his citation record reflects a growing influence in the field of wearable robotics.
Research Focus
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Top Papers
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