Patrik Fager
Papers
7
Total Citations
110
H-Index
5
About
Patrik Fager is a leading researcher in production logistics and automation, specializing in the integration of collaborative robots (cobots) into manual materials handling for mixed-model assembly systems. His work focuses on enhancing efficiency, quality, and ergonomics in warehouse picking and kit preparation—critical processes for modern manufacturing. Fager’s major contributions include developing cost and time efficiency models for cobot-supported sorting and kitting, providing a rigorous economic framework that was previously lacking in the field. His most-cited paper, "Cost modelling of onboard cobot-supported item sorting in a picking system" (2020, 46 citations), demonstrates the practical value of cobots by quantifying their return on investment. He has also advanced vision-guided robotic bin picking through supervised and unsupervised learning techniques, addressing the challenge of handling numerous component variants. With a total of over 110 citations across his key works, Fager’s research bridges the gap between theoretical automation potential and real-world manufacturing constraints. His notable achievements include pioneering dual-robot kit preparation systems and developing frameworks for gripper requirements, making his work essential reading for students and researchers interested in the future of human-robot collaboration in industry.
Research Focus
Key Achievements
Top Papers
- 1Cost modelling of onboard cobot-supported item sorting in a picking system46 citations · 2020
- 2Modelling time efficiency of cobot-supported kit preparation29 citations · 2019
- 3Kit Preparation with Cobot-supported Sorting in Mixed Model Assembly16 citations · 2019
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- 7Gripper Types and Components in Robotic Bin Picking3 citations · 2020