Andreas Kroll

University of Kassel

Papers

10

Total Citations

354

H-Index

8

About

Andreas Kroll is a prominent researcher whose work sits at the intersection of mobile robotics, autonomous inspection systems, and intelligent optimization. Best known for his pioneering contributions to robotic gas leak detection and multi-robot task allocation, Kroll has fundamentally advanced how industrial environments can be monitored safely and efficiently without direct human intervention. His most influential work, garnering 83 citations, introduced centralized multi-robot task allocation frameworks using A* and genetic algorithms for industrial plant inspection — a foundational contribution to coordinated autonomous systems. Equally significant is his development of passive and active IR-thermography and TDLAS-based remote sensing techniques, enabling mobile robots to detect and localize pressurized gas leaks from a safe distance rather than relying on traditional in-situ sensors — a paradigm shift cited over 60 times collectively. The RoboGasInspector project, a flagship initiative running through multiple publications, brought these capabilities together into a deployable robotic platform for large-scale industrial inspection. Kroll has also made sustained contributions to optimization methodology, particularly memetic and genetic algorithms tailored for cooperative multi-robot scenarios. His 2010 industry survey further reflects a commitment to aligning research with real-world industrial needs. Across his body of work, Kroll has helped lay the groundwork for fully autonomous, intelligent industrial inspection systems.

Research Focus

Key Achievements

8
H-Index
10
Papers
354
Total Citations
35
Avg Citations/Paper
🏆 Most Cited Paper
A Centralized Multi-Robot Task Allocation for Industrial Plant Inspection by Using A* and Genetic Algorithms
83 citations · 2012
📈 Most Prolific Year: 2012 (3 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: University of Kassel

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago