Xuexiang Zhang

Shanghai University of Engineering Science, Nanjing University of Aeronautics and Astronautics

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About

Xuexiang Zhang is a robotics researcher whose work focuses on advancing human-robot interaction and parallel robot kinematics. Zhang’s research spans two key areas: gesture-based control for intelligent robots and workspace optimization for parallel manipulators. In their 2019 study on robotic control of dynamic and static gesture recognition, Zhang explored how gesture-based commands can serve as a flexible, intuitive interface for industrial robots—a contribution that has earned 10 citations and highlights the growing importance of non-contact human-machine collaboration. Complementing this, Zhang’s 2018 investigation into the symmetrical workspace of the 6-UPS parallel robot introduced a novel, high-efficiency method for calculating reachable spaces using tilt and torsion angles. By leveraging the inherent symmetries of this nearly general platform, Zhang’s work enables faster, closed-loop real-time feedback control—critical for precision tasks in manufacturing. With 8 citations, this study underscores Zhang’s impact on improving computational efficiency in robotics. Together, these contributions demonstrate Zhang’s commitment to making robots more responsive, intuitive, and computationally efficient, offering valuable insights for students and researchers in automation and control systems.