Papers
5
Total Citations
183
H-Index
5
About
Xiangfeng Zeng is a leading researcher in the field of rehabilitation robotics, with a primary focus on ankle rehabilitation and assistive technologies. His most significant contribution is the development of the Compliant Ankle Rehabilitation Robot (CARR), a bio-inspired device that employs four Festo Fluidic muscles to mimic skeletal muscles and provide three rotational degrees of freedom. This innovative design, detailed in his highly cited 2017 paper (63 citations), enables reconfigurable workspace and torque capacity, making it highly adaptable for clinical use. Zeng has also made substantial contributions to understanding the clinical effectiveness of active training strategies in platform-based ankle robots, as evidenced by his 2018 review (41 citations). His work extends to treating specific conditions like drop foot, where he demonstrated the efficacy of CARR in a 2017 study (36 citations) and a 2016 case study (19 citations). Additionally, Zeng explored the integration of brain-computer interfaces, showing the feasibility of steady-state visual evoked potential (SSVEP)-based passive training on ankle rehabilitation robots (2017, 24 citations). With over 180 total citations, his research bridges engineering innovation and clinical application, offering transformative solutions for motor recovery and rehabilitation.
Research Focus
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