Fabias Maas genannt Bermpohl

German Research Centre for Artificial Intelligence

Papers

2

Total Citations

9

H-Index

2

About

Fabias Maas genannt Bermpohl is a forward-thinking researcher at the intersection of robotics, cloud computing, and intralogistics, with a focus on revolutionizing retail supply chains. His most cited work, "MARLIN: A cloud integrated robotic solution to support intralogistics in retail" (2024, 5 citations), introduces a novel, scalable framework that seamlessly merges cloud intelligence with autonomous mobile robots to optimize warehouse and store operations. This contribution addresses critical gaps in real-time task coordination and system flexibility. In a complementary study, "Experimental Evaluation of AGV Dispatching Methods in an Agent-Based Simulation Environment and a Digital Twin" (2023, 4 citations), he systematically compares dispatching strategies for Automated Material Handling Systems, providing empirical insights that guide the design of more efficient and responsive logistics networks. By leveraging digital twins and agent-based modeling, his work bridges simulation and real-world deployment, offering practical benchmarks for industry. With a growing citation footprint, Maas genannt Bermpohl is establishing himself as a key voice in smart logistics, demonstrating how integrated robotic solutions can transform retail intralogistics into a more agile, data-driven ecosystem.

Research Focus

Key Achievements

2
H-Index
2
Papers
9
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
MARLIN: A cloud integrated robotic solution to support intralogistics in retail
5 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: German Research Centre for Artificial Intelligence

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago