During his PhD studies, Leihui Li developed a robotic 3D scanning system to improve efficiency and autonomy in industrial inspection. Combining 3D cameras with robot arms, the system performs fast, marker-free hand-eye calibration and selects the optimal followup viewpoint to maximize scan coverage and overlap, achieving over 90% completeness with fewer views. It also evaluates scan quality and triggers rescans when needed. Validated on multiple robot and camera setups, the system reduces setup time and improves data accuracy, offering a robust solution for smart factories handling complex workpieces.

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: Thursday, 7 August 2025 at 9:00 AM
Place: Building 5510, room 103, Aarhus University, Åbogade 15, 8200 Aarhus N
Title of PhD thesis: Active 3D Vision for Robotic Manufacturing Enhancement
Contact information: Leihui Li, e-mail: leihui@mpe.au.dk, tel.: +45 91952565
Members of the assessment committee:
Professor Anastasios Tefas, Department of Informatics, Aristotle University of Thessaloniki, Greece
Associate Professor Ming Shen, Department of Electronic Systems, Aalborg University, Denmark
Associate Professor Subburaj Karupppasamy (chair), Department of Mechanical and Production Engineering, Aarhus University
Main supervisor: Associate Professor Xuping Zhang, Department of Mechanical and Production Engineering, Aarhus University, 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, Ny Munkegade 120, building 1521, 8000 Aarhus C.