Kai Fang

Institute of Optics and Electronics, Chinese Academy of Sciences, Shenzhen Institutes of Advanced Technology

Papers

Total Citations

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About

Dr. Kai Fang is a pioneering researcher at the intersection of robotic manufacturing and wearable assistive technology, whose work bridges precision engineering and human-robot interaction. His primary research areas include computer-controlled optical surfacing (CCOS), industrial robotics for freeform surface processing, and soft exosuit actuation systems. Dr. Fang’s most cited work (11 citations) revolutionized freeform surface grinding and polishing by replacing traditional CNC machines with a 6-axis industrial robot (Stäubli TX200), demonstrating that robotic platforms can achieve the precision required for optical component manufacturing—a breakthrough that reduces costs and increases flexibility in high-precision optics. In soft robotics, his 2019 paper (4 citations) introduced an innovative auto cable pretension method for the SIAT Soft Exosuit (SSEX), using a gait trajectory prediction network to dynamically adjust cable tension. This work addresses a critical challenge in wearable robotics: maintaining assistive force without restricting natural movement. By developing algorithms that anticipate human motion, Dr. Fang has enhanced the comfort and effectiveness of exosuits for rehabilitation and mobility assistance. His dual focus on industrial automation and human-centered robotics positions him as a versatile engineer whose contributions impact both manufacturing efficiency and assistive technology development.