Papers
11
Total Citations
167
H-Index
7
About
Zhenxing Sun is a robotics and control systems researcher whose work spans advanced motion control, robotic exoskeletons, teleoperation, and emerging intraoperative imaging technologies. His most significant contributions lie in developing robust control frameworks for complex robotic systems operating under real-world uncertainties. His highly cited 2021 work on continuous terminal sliding-mode control (50 citations) introduced a finite-time control framework utilizing high-order sliding-mode observers to achieve precise trajectory tracking in flexible-joint robots despite matched and mismatched disturbances. Complementing this, his 2019 research (44 citations) pioneered a nonlinear-disturbance-observer-enhanced model predictive control method for motion control systems, elegantly combining predictive optimization with disturbance rejection. Sun has also made notable contributions to rehabilitation robotics, designing generalized model predictive controllers for series elastic actuator-driven exoskeletons and composite sliding-mode controllers for lower-limb assistive devices. His work on multilateral teleoperation using sliding-mode impedance control reflects a strong interest in safe human-robot interaction. Most recently, Sun has ventured into surgical robotics, introducing a fast adaptive focus-tracking robotic optical coherence tomography system enabling real-time tumor grading during spinal cord surgery — a striking expansion of his expertise into high-impact medical applications.
Research Focus
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