Xiaoqing Tian

Hefei University of Technology, Hangzhou Dianzi University

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About

Xiaoqing Tian is a leading researcher at the intersection of robotics, human–machine interaction, and smart sensing. Their work spans three critical domains: robotic surface machining, wearable exoskeletons, and electronic skin sensors. Tian’s major contributions include developing a novel tool path optimization method for robotic surface machining using sampling-based motion planning algorithms, which significantly improves machining precision and efficiency. In the field of rehabilitation and assistive robotics, Tian advanced precision interaction force control for underactuated hydraulic stance leg exoskeletons, addressing the complex constraints imposed by human wearers to enable safer, more responsive load-carrying assistance. Additionally, Tian designed an innovative electronic skin strain sensor for adaptive angle calculation, overcoming the limitations of conventional strain sensors in motion monitoring. With over 60 citations across their most-cited works, Tian’s research has been published in high-impact venues and demonstrates a clear trajectory toward integrating intelligent control, flexible sensing, and human-centered design. Their work is particularly notable for bridging theoretical motion planning with practical robotic applications, making significant strides toward more intuitive and capable robotic systems.