Students Staff

Research Students

Mr Zuyuan Zhu

Position in departmentGLA, Invigilator
Telephone01206 872477
Academic support hours9:00AM - 19:00PM, Mon - Fri

I am currently carry out my PhD at the University of Essex, focusing on autonomous robotic assembly, supervised by Professor Huosheng Hu.

I got my M.Sc. at the Department of Cognitive Science, School of Information Science and Engineering, Xiamen University, in 2016. During my M.Sc. at Xiamen University, I worked on mobile manipulator and developmental robotics under the instruction of Dr. Fei Chao. Before that, I received my B.En. in Automation from Harbin Engineering University in 2009. 

Research interests
  • Robotic Assembly
  • Learning from Demonstration
Teaching responsibilities

GLA: CE101-4-FY-CO: Professional Development ( 2017/18 Autumn Spring )

GLA (internship): CE243-5-AU-CO: C Programming and Embedded Systems ( 2017/18 Autumn )


[1] 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).

[2] 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.

[3] 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.

[4] 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.

[5] 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.

Study areas

 My PhD research aims to develop a novel autonomous skill learning system using imitation learning and decomposed movement primitives to enhance fine robotic assembly demonstrated through autonomously assembling an IKEA table or similar task with a Baxter robot.

SupervisorProf. Huosheng Hu
Thesis titleAutonomous Skill Learning System for Fine Robotic Assembly

This research aims at developing an autonomous skill learning system that enables a humanoid robot to acquire and improve a rich set of motor skills for fine assembly tasks. The skill learning system will allow the robot to conduct assembly tasks in unstructured environments using a vision system, where the individual parts to be assembled are placed in arbitrary positions and orientations. This is a potentially fruitful research endeavour with a strong science base for skill learning, as well as wide real-world applications such as service robots to help the elderly and disabled people at their homes.

Additional information

I am a research student in Robotics Group

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