Xingyu Yang

Xi'an Jiaotong University, Fuzhou University

Papers

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About

Xingyu Yang is a robotics researcher whose work spans rehabilitation engineering, human pose estimation, and mobile robot kinematics. With a career trajectory that bridges foundational robotics theory and cutting-edge human-robot interaction, Yang has made meaningful contributions to the development of intelligent robotic systems designed to assist and imitate human movement. Yang's most impactful work addresses the urgent global challenge of stroke rehabilitation. Their 2020 paper on trajectory planning for upper limb rehabilitation robots — now with 17 citations — proposes bio-inspired motion planning leveraging human pose estimation, offering a practical technological response to the worldwide shortage of rehabilitation specialists. This work sits at a critical intersection of computer vision, medical robotics, and patient care. Building on this foundation, Yang's 2021 study extended pose estimation methodologies to humanoid robots capable of visually perceiving and imitating human motions, integrating 3D pose reconstruction for more naturalistic robotic behavior. Earlier work from 2005 on wheeled mobile robot kinematics demonstrates Yang's long-standing engagement with the mathematical modeling of robotic locomotion. Collectively, Yang's research reflects a sustained commitment to making robots more adaptive, human-aware, and clinically useful — contributions of growing relevance as healthcare systems worldwide increasingly turn to automation.