Matthias Reisenauer
Papers
1
Total Citations
5
H-Index
1
About
Matthias Reisenauer is a roboticist whose work focuses on multi-robot systems, collaborative mapping, and autonomous exploration in communication-constrained environments. His most-cited paper, “Simultaneous Collaborative Mapping Based on Low-Bandwidth Communication” (2019, 5 citations), addresses a critical challenge in real-world robotics: enabling multiple robots to build a consistent, shared map even when WiFi is unavailable or bandwidth is severely limited. This contribution is particularly relevant for applications like search and rescue (SAR), cleaning, and area coverage, where reliable communication cannot be assumed. Reisenauer’s research bridges the gap between theoretical multi-robot coordination and practical deployment in GPS-denied or infrastructure-poor settings. By developing algorithms that minimize data exchange while maintaining map accuracy, he has helped advance the feasibility of collaborative robotic teams in disaster response and industrial automation. His work demonstrates a clear understanding of the trade-offs between communication efficiency and mapping fidelity, making it valuable for students and researchers exploring resilient multi-agent systems.
Research Focus
Key Achievements
Top Papers
- 1Simultaneous Collaborative Mapping Based on Low-Bandwidth Communication5 citations · 2019