Dr Zhenxi (Nathan) Cui
Dr Cui is a lecturer in Electronic and Robotic Engineering at UWL. He earned his PhD from Hong Kong Polytechnic University (PolyU) in 2022. Before joining UWL, he worked as a postdoctoral fellow at King's College London (KCL).
His research interests encompass Deep Reinforcement Learning (DRL), Learning from Demonstration (LfD), Human–Robot Interaction (HRI) and Robot Manipulation Planning and Control.
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Qualifications
BEng (SDUT, China)
MSc (PolyU, HK)
PhD (PolyU, HK)
Research
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Research and publications
Cui, Z., Ma, W., Lai, J., Chu, H. K., & Guo, Y. (2022). Coupled Multiple Dynamic Movement Primitives Generalization for Deformable Object Manipulation. IEEE Robotics and Automation Letters (RA-L), 7(2), 5381-5388.
Huang, K., Cui, Z., Lai, J., Lu, B., & Chu, H. K. (2021). Optimization of a Single-Particle Micropatterning System with Robotic nDEP-Tweezers. IEEE Transactions on Automation Science and Engineering(T-ASE), 19(2), pp.818-832.
Huang, K., Ajamieh, I. A., Cui, Z., Lai, J., Mills, J. K., & Chu, H. K. (2020). Automated embryo manipulation and rotation via robotic nDEP-tweezers. IEEE Transactions on Biomedical Engineering(TBME), 68(7), 2152-2163.
Zhang, L., Huang, X., Cui, Z.. Fatigue loading system of MW wind trubine blade and its adaptive frequency sweep control. Taiyangneng Xuebao/Acta Energiae Solaris Sinica, 35(6), 1070 – 1074. -
Conferences
Cui, Z., Huang, K., Lu, B., & Chu, H. K. (2020, October). Automated Folding of a Deformable Thin Object through Robot Manipulators. In 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (pp. 4241-4248).
Cui, Z., Huang, K., Lu, B., & Chu, H. K. (2019, July). Three-dimensional Localization of Needle Tip Immersed in Medium. In 2019 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) (pp. 507- 512).
Huang, K., Cui, Z., Ajamieh, I. A., Lai, J., Mills, J. K., & Chu, H. K. (2020, August). Automated Singlemicroparticle Patterning System for Micro-analytics. In 2020 IEEE 16th International Conference on Automation Science and Engineering (CASE) (pp. 390-396).