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Dr. Zhoujingzi Qiu | Engineering | Best Researcher Award

Associate Researcher, Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China

Zhoujingzi Qiu is an accomplished Associate Researcher specializing in robotic control systems and computer vision. With a strong background in control science and engineering, Qiu has led significant research initiatives, including projects funded by the National Natural Science Foundation of China and collaborative programs with industry leaders like Huawei. Their work focuses on enhancing the autonomy and intelligence of robotic systems through advanced visual servoing and predictive control methods.

Profile

Education 🎓

  • Ph.D. in Control Science and Engineering (2019), Shanghai Jiao Tong University, China
  • M.S. in Control Engineering (2014), Shenzhen Graduate School, Harbin Institute of Technology, China

Experience 👨‍🏫

  • Associate Researcher (Current), Shenzhen Institute for Advanced Study, University of Electronic Science and Technology of China
  • Post-Doctoral Fellow (2020–2023), School of Aeronautics and Astronautics, Sun Yat-sen University, China
  • Key Project Researcher, National 863 Program, Shanghai Jiao Tong University

Research Interests 🔬

Qiu’s primary research areas include visual servoing, robot control, path planning, computer vision, image processing, and predictive control. They have specifically contributed to the development of adaptive model predictive visual servoing and robust feature extraction methods for non-cooperative target capture.

Awards 🏆

  • First Prize for Scientific and Technological Progress, Shanghai
  • Excellent Grade and Outstanding Case, University-Industry Collaborative Education Huawei Program
  • Research Excellence Award Nominee, International Research Hypothesis Excellence Award

Publications đź“‘

  • “Collaborative Low Frame Rate UAV Tracking by Proposals” – IEEE Robotics and Automation Letters, 2024 (DOI: 10.1109/LRA.2024.3469790)
  • “Adaptive neural network control for image-based visual servoing of robot manipulators” – IET Control Theory and Applications, 2022 (DOI: 10.1049/cth2.12238)
  • “Disturbance observer based adaptive model predictive control for uncalibrated visual servoing in constrained environments” – ISA Transactions, 2020 (DOI: 10.1016/j.isatra.2020.06.013)
  • “Model Predictive Control for Uncalibrated and Constrained Image-Based Visual Servoing without Joint Velocity Measurements” – IEEE Access, 2019 (DOI: 10.1109/ACCESS.2019.2920389)
  • “Single view based nonlinear vision pose estimation from coplanar points” – Optik, 2020 (DOI: 10.1016/j.ijleo.2019.163639)

Conclusion

Zhoujingzi Qiu is a highly qualified candidate for academic recognition, demonstrated by their consistent record of high-impact publications and successful leadership of national-level research projects. Their innovative contributions to visual servoing and disturbance-adaptive control address critical challenges in robotics, significantly advancing the field’s technical capabilities.