Papers
6
Total Citations
339
H-Index
4
About
Hermann Hellwagner is a leading researcher in multi-robot systems, with a particular focus on autonomous unmanned aerial vehicles (UAVs) and their coordination in complex, real-world missions. His most influential work, "An Autonomous Multi-UAV System for Search and Rescue," has garnered over 300 citations, establishing a foundational architecture for deploying multiple drones in emergency scenarios using the Robot Operating System (ROS). Beyond this landmark contribution, Hellwagner has systematically advanced the field of information distribution in multi-robot teams. He developed utility-based evaluation models and optimization middleware that allow robots to intelligently decide what information to share under bandwidth and energy constraints. His work on distributed task assignment and adaptive communication protocols addresses the core challenge of maintaining coordination when robots have incomplete knowledge and dynamic conditions. By introducing a generic, utility-aware middleware based on Monte Carlo Tree Search, Hellwagner has provided practical tools for improving efficiency in multi-robot missions. His research is essential reading for anyone working on autonomous systems, swarm robotics, or communication-aware coordination in distributed robotic networks.
Research Focus
Key Achievements
Top Papers
- 1An Autonomous Multi-UAV System for Search and Rescue309 citations · 2015
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- 5An Evaluation Model for Information Distribution in Multi-Robot Systems3 citations · 2019
- 6