2020 applicants

Zuyuan Zhu

Graduate Laboratory Assistant
School of Computer Science and Electronic Engineering (CSEE)
Postgraduate Research Student
School of Computer Science and Electronic Engineering
 Zuyuan Zhu



I am a PhD research student in Robotics Research Group. [1] Zuyuan Zhu, Huosheng Hu, Robot Learning from Demonstration in Robotic Assembly: A Survey, Robotics, 2018, 7(2), 17. [2] Chao Fei, Zuyuan Zhu, Chih-Min Lin, Huosheng Hu, Longzhi Yang, Changjing Shang, and Changle Zhou. Enhanced Robotic Hand-eye Coordination inspired from Human-like Behavioral Patterns. IEEE Transactions on Cognitive and Developmental Systems (2016). [3] Zuyuan Zhu, Fei Chao, Xin Zhang, Min Jiang, and Changle Zhou. A Developmental Approach to Mobile Robotic Reaching. In International Conference on Intelligent Robotics and Applications, pp. 284-294. Springer International Publishing, 2015. [4] Wu Ruiqi, Changle Zhou, Fei Chao, Zuyuan Zhu, Chih-Min Lin, and Longzhi Yang. A Developmental Learning Approach of Mobile Manipulator via Playing. Frontiers in Neurorobotics 11 (2017): 53. [5] Zhou Dajun, Fei Chao, Zuyuan Zhu, Chih-Min Lin, and Changle Zhou. A novel approach to a mobile robot via multiple human body postures. In Intelligent Control and Automation (WCICA), 2016 12th World Congress on, pp. 1463-1468. IEEE, 2016. [6] Chao Fei, Yan Sun, Zhengshuai Wang, Gang Yao, Zuyuan Zhu, Changle Zhou, Qinggang Meng, and Min Jiang. A reduced classifier ensemble approach to human gesture classification for robotic Chinese handwriting. In Fuzzy Systems (FUZZ-IEEE), 2014 IEEE International Conference on, pp. 1720-1727. IEEE, 2014. Graduate Laboratory Assistant (GLA) : CE101-4-FY-CO: Team Project Challenge (2017-18, 2018-19, 2019-20) CE243-5-AU-CO: C Programming and Embedded Systems (2018-19, 2019-20) CE315-6-SP-CO: Mobile Robotics (2018-19, 2019-20)


  • M.Sc. in Computer Technology, Xiamen University, China (2013)

  • BEng. in Automation, Harbin Engineering University, China (2009)

Research and professional activities


Autonomous Skill Learning System for Fine Robotic Assembly

This research aims to develop a novel autonomous skill learning system which allow the robot to conduct assembly tasks. This is a potentially fruitful research endeavour with a strong science base for skill learning, as well as wide real-world applications such as assembly or similar manipulative application. The results of the project will provide better understanding of how to deploy robots in industry and domestic applications.

Supervisor: Huosheng Hu

Research interests

Robotic Assembly

Learning from Demonstration




Colchester Campus

Working pattern:

9:00AM - 19:00PM, Mon - Fri