Simon Mathiesen
Papers
7
Total Citations
66
H-Index
5
About
Simon Mathiesen is a leading researcher in robotics and digital manufacturing, specializing in agile production systems, human-robot collaboration (HRC), and digital twins for industrial assembly. His work addresses the critical challenge of enabling high-mix, low-volume production in high-wage countries, where robotic cells must adapt rapidly to part and product variability. Mathiesen’s major contributions include pioneering the concept of robot cell matrices for flexible assembly, demonstrated at the WRC 2018, and developing a Digital Twin-based workspace monitoring system that enhances operator safety through real-time feedback and safety-rated monitored stop protocols. His research on vision-less bin-picking and learning-by-demonstration for part feeding has advanced automation in small and medium enterprises, reducing reliance on complex sensors. With over 66 citations across his top papers, Mathiesen’s impact is evident in his integration of digital twins for process optimization and intuitive robot programming, bridging simulation and physical execution. Notably, his work on assembly task modelling for automatic robot program generation promises to slash programming time, making robotics accessible for dynamic production environments. Mathiesen’s achievements underscore his role in shaping safer, more adaptable manufacturing systems.
Research Focus
Key Achievements
Top Papers
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- 5Vision-less Bin-Picking for Small Parts Feeding6 citations · 2019
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- 7Assembly Task Modelling Method for Automatic Robot Program Generation2 citations · 2023