Yongjiu Liu

University of Science and Technology of China, Institute of Intelligent Machines

Papers

Total Citations

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About

Yongjiu Liu is a pioneering researcher in rehabilitation robotics and high-speed 3-D vision systems, with work that bridges human-machine interaction and precision engineering. His key research areas include brain-computer interfaces (BCI), virtual reality (VR)-enhanced rehabilitation, and motion-compensated structured light imaging. In his most-cited work (2012), Liu proposed a control system for a gait rehabilitation training robot that integrates BCI and VR technology, transforming monotonous therapy into an engaging, interactive process that adapts to patients’ mental states. This innovation has garnered 5 citations and laid groundwork for patient-centric neurorehabilitation. His 2014 paper introduced a robot-mounted 3-D shape measurement system achieving 500 fps with motion-compensated coded structured light—a breakthrough for high-speed, high-precision inspection in dynamic manufacturing environments. Liu’s earlier 2011 study on walking gait-based control systems further solidified his expertise in robotic locomotion assistance. With a total of 11 citations across these seminal works, Liu’s contributions are vital for advancing assistive robotics and real-time 3-D sensing, offering impactful tools for both clinical rehabilitation and industrial automation.