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FACULTY
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Wu, Kai
Positional Title: Associate Professor
Email: whphwk@scut.edu.cn
Working For: Shien-Ming Wu School of Intelligent Engineering
Graduated School: Ruhr-University Bochum
Final Degree: Ph.D.
Office: D1-b532
Zip Code: 510640
Telephone: 020-81122124
Mentor Type: Doctoral Supervisor/ Master's Supervisor
Personal profile
Assistant Professor at the Shien-Ming Wu school of intelligent engineering. Main research fields include industrial robotic machining and motion control, robot assisted manufacturing and manufacturing Execution System.
Work Experience
2012 – 2015 Research Assistant，Institute of Production Systems / Chair of Industrial Robotics and Production Automation at TU Dortmund University, Germany
2015 – 2017 Research Assistant，Chair of Production Systems at Ruhr-University Bochum, Germany
2017 – 2019 Research Project Manager，IGA mbH, Germany
2019 – Present Associate Professor，Shien-Ming Wu School of Intelligent Engineering, SCUT
Education
2003 – 2007 B.Eng., Department of Mechanical and Electronic Engineering, Central South University
2008 – 2011 M.Eng., Department of Mechanical Manufacture and Automation, Central South University
2015 – 2017 PhD, Chair of Production System, Ruhr-University Bochum
Research Interest
Robot assisted manufacturing, Multi-sensor fusion, Human-robot interaction; Intelligent medical robot
Research projects
Courses
Design and Manufacturing Ⅰ; Machine vision and sensing system
Selected Publications
2025
Wu, K., Feng, S., An, H., Carbone, G., & Li, W. Evaluation of robot kinematic performance under motion constraints in a teleoperated robotic ultrasound system. Mechanism and Machine Theory, 207, 105952. https://doi.org/10.1016/j.mechmachtheory.2025.105952
Zhang, Y., Wang, M., & Wu, K.. A self-aware robotic machining architecture based on physics-informed neural networks. Proceedings of 2025 3rd International Conference on Mechatronics, Control and Robotics.
2024
Wu, K., Lu, Y., Huang, R., Kuhlenkötter, B., & Li, W. A Time-Series Data-Driven Method for Milling Force Prediction of Robotic Machining. IEEE Transactions on Instrumentation and Measurement, 73, 1–12. https://doi.org/10.1109/TIM.2024.33760182025
Wu, K., Zhang, Y., Gao, D., Deng, S., Li, W., & Wang, M. (2024). Neural network–based transfer learning to improve stiffness modeling of industrial robots with small experimental data sets. The International Journal of Advanced Manufacturing Technology, 135(11–12), 5253–5265. https://doi.org/10.1007/s00170-024-14794-z
Zhang, H., Wu, K., Chen, R., Wu, Z., Zhong, Y., & Li, W. (2024). TL-4DRCF: A Two-Level 4-D Radar-Camera Fusion Method for Object Detection in Adverse Weather. IEEE Sensors Journal, 24(10), 16408–16418. https://doi.org/10.1109/JSEN.2024.3382669
2022
K. Wu and B. Kuhlenkoetter, “Dynamic behavior and path accuracy of an industrial robot with a CNC controller,” Adv. Mech. Eng., vol. 14, no. 2, pp. 1–10, 2022, doi: 10.1177/16878132221082869.
2021
K. Wu and J. Li, “Prediction of the eigenfrequency of industrial robots based on the ANN model,” in 2021 China Automation Congress (CAC), 2021, pp. 1595–1598, doi: 10.1109/CAC53003.2021.9728068.
2017
K. Wu, C. Krewet, and B. Kuhlenkötter, “Dynamic performance of industrial robot in corner path with CNC controller,” Robot. Comput. Integr. Manuf., vol. 54, no. November 2016, pp. 156–161, 2018, doi: 10.1016/j.rcim.2017.11.008. SCI 一区
2016
K. Wu, C. Krewet, J. Bickendorf, B. Kuhlenkoetter, Dynamic performance of industrial robot with cnc controller, Int J Adv Manuf Technol. (2016). doi:10.1007/s00170-016-9584-2. SCI 二区
2015
K. Wu, J. Brueninghaus, B. Johnen, and B. Kuhlenkoetter,“Applicability of stereo high speed camera systems for robot dynamics analysis,” in 2015 International Conference on Control,Automation and Robotics, 2015, pp. 44–48.
Patents
A DH parameter calibration method and system based on electromagnetic wave ranging，Patent number: ZL202110777458.08
