Papers
1
Total Citations
11
H-Index
1
About
Markus Stilkerieg is a robotics researcher whose work focuses on the critical challenge of enabling reliable communication and navigation for multi-robot teams. His primary research areas include multi-robot systems, adaptive signal strength prediction, and radio propagation modeling for autonomous navigation. Stilkerieg’s major contribution lies in developing methods that allow groups of mobile robots to predict and adapt to fluctuating wireless signal strengths in real-time, directly improving their ability to coordinate during complex tasks like exploration and search-and-rescue missions. His most-cited paper, "Adaptive Signal Strength Prediction based on Radio Propagation Models for improving Multi-Robot Navigation Strategies" (2009, 11 citations), provides a foundational framework for integrating communication-aware decision-making into robotic path planning. This work addresses a key bottleneck in multi-robot cooperation: maintaining robust connectivity in dynamic, obstacle-filled environments. By bridging the gap between theoretical radio models and practical robotic navigation, Stilkerieg has contributed to making multi-robot systems more resilient and autonomous. His research is particularly valuable for students and engineers working on field robotics, where reliable communication is essential for mission success.
Research Focus
Key Achievements
Top Papers
- 1