Markus Boehning
Papers
2
Total Citations
75
H-Index
2
About
Markus Boehning is a leading researcher in industrial logistics automation, specializing in advanced automated guided vehicle systems (AGVs) and multi-sensor data fusion for manufacturing environments. His most influential work, the PAN-Robots Project (2017, 69 citations), addresses a critical gap in modern factories: while production phases are highly automated, logistics operations still rely heavily on manual labor and human-driven vehicles. Boehning’s research demonstrates how AGVs can bridge this divide, significantly boosting overall productivity and efficiency. He further advances safety in human-robot collaboration through his work on multi-level on-board data fusion (2015, 6 citations), integrating 2D safety laser scanners with 3D perception to create a 360-degree field of view around AGVs. This innovation enables real-time collision avoidance with structural elements, other vehicles, and—most critically—human workers, meeting stringent safety standards without sacrificing operational speed. Boehning’s contributions are foundational for the next generation of smart factories, where autonomous logistics and human safety coexist seamlessly. His research continues to shape the design of robust, perception-driven AGV systems that are both productive and safe, making him a key figure in the evolution of Industry 4.0 logistics.
Research Focus
Key Achievements
Top Papers
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