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Robotic solution to SMEs manufacturing under Industry 5.0 – the learning-based control methods for a collaborative industrial mobile manipulators

PhD defence, Sunday 28 October 2022, Zhengxue Zhou

Zhengxue Zhou

Will the new wave of robotics and digital development to address labor shortages caused by the Covid-19 crisis be an opportunity for small and medium-sized enterprises (SMEs) or a threat to factory workers’ jobs? How could workers teach robots in a human-centric way to promote resilient and sustainable business models for SME manufacturing?

With those two questions, Zhengxue Zhou researched the learning-based control issues of collaborative industrial mobile manipulators to promote automated SME manufacturing by treating robots as humans’ apprentices shown in the above figure. Zhengxue Zhou studied how cutting-edge robots integrating with artificial intelligence algorithms, digital technologies, and computer vision techniques contribute to real industrial production and solve the specific difficulties faced by SMEs.

Zhengxue Zhou’s study provides a new perspective on the robotic solution to contribute to SME manufacturing and workers' re-skilling.


The PhD study was completed at Department of Mechanical and Production Engineering, Faculty of Technical Sciences, Aarhus University.

This summary was prepared by the PhD student.

Time: Friday, 28 October 2022 at 13:00
Place: Building 3210, room 03.046, Inge Lehmanns Gade 10, 8000 Aarhus C, Aarhus University
Title of PhD thesis: Interaction Dynamics and Control of Collaborative Industrial Mobile Robot Manipulators for SME Manufacturing

Contact information: Zhengxue Zhou, e-mail: zhouzx@mpe.au.dk, tel.: +45 52743844

Members of the assessment committee:

Associate Professor Huapeng Wu, Laboratory of Intelligent Machines, Lappeenranta University of Technology (LUT), Finland

Professor Poramate Manoonpong, Maersk Mc-Kinney Møller Institute, University of Southern Denmark, Denmark

Professor Ole Balling (chair), Department of Mechanical and Production Engineering, Aarhus University, Denmark

Main supervisor:
Associate Professor Xuping Zhang, Department of Mechanical and Production Engineering, Aarhus University, Denmark

Language: The PhD dissertation will be defended in English

The defence is public.
The PhD thesis is available for reading at the Graduate School of Technical Sciences/GSTS,

Jens Baggesens Vej 53, building 5221, 8200 Aarhus N.

17427 / i43