Marc Geitz
Papers
1
Total Citations
10
H-Index
1
About
Marc Geitz is a researcher at the forefront of smart intralogistics and industrial connectivity, with a focus on integrating cognitive systems into factory environments. His work addresses the critical challenge of enabling reliable, flexible mobile autonomous transport systems—a cornerstone of adaptable industrial production. Geitz’s most-cited paper, "Cognitive Edge for Factory: a Case Study on Campus Networks enabling Smart Intralogistics" (2019, 10 citations), demonstrates how campus networks can overcome the interference and unreliability issues plaguing traditional WiFi-based robot connectivity in harsh factory settings. This case study highlights his contributions to edge computing and network resilience, offering practical solutions for real-world logistics automation. While his citation count is modest, Geitz’s impact lies in bridging the gap between theoretical network architectures and applied intralogistics, making his work valuable for researchers and engineers seeking to enhance industrial flexibility through smarter, more robust communication systems. His research continues to influence the evolution of Industry 4.0.
Research Focus
Key Achievements
Top Papers
- 1