Zongjun Mo
Papers
5
Total Citations
82
H-Index
5
About
Zongjun Mo is a leading researcher in the field of rehabilitation robotics, with a primary focus on cable-driven lower limb rehabilitation robots (CDLR). His work addresses critical challenges in human-machine compatibility, mechanical optimization, and patient safety—key factors for translating robotic therapy from the lab to clinical practice. Mo’s major contributions include developing dynamic models and control strategies for cable-driven systems, which enable multimodal rehabilitation training (passive, active-assisted) tailored to different recovery stages. Notably, he pioneered safety evaluation methods for cable-driven rehabilitation robots, a previously unreported area, with his 2020 study on safety assessment accumulating 15 citations. His most-cited paper (2021, 24 citations) explores mechanical optimization to enhance robot performance and patient safety, while his 2020 work on control strategy (21 citations) tackles cable tension control to improve human-robot interaction. Mo’s research also introduces bionic muscle designs to mitigate the “pseudo-drag” phenomenon in cables, directly improving patient safety during training. With over 80 total citations across his top papers, Mo’s work is foundational for developing safer, more effective rehabilitation robots, making him a key figure in advancing assistive technology for lower limb recovery.
Research Focus
Key Achievements
Top Papers
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