Papers
3
Total Citations
24
H-Index
2
About
Maik Basso is a leading researcher in the field of distributed multi-robot systems, with a primary focus on cooperative unmanned aerial vehicle (UAV) swarms. His work centers on solving critical challenges in autonomous coordination, including task allocation, real-time communication, and shared environmental perception for search and rescue missions. Basso’s most influential contribution is his development of a distributed task allocation protocol for cooperative multi-UAV systems, detailed in his 2021 paper, which has garnered 18 citations and is recognized for enabling efficient, decentralized decision-making in dynamic, time-critical scenarios. He has also advanced the state of the art in collaborative navigation by designing methods for sharing three-dimensional occupancy grid maps among UAVs, allowing swarms to build and maintain a common understanding of their environment without centralized control. Further, his empirical evaluation of a complete hardware and software solution for UAV swarm networks provides a practical blueprint for deploying these systems in the field. Through these contributions, Basso is helping to bridge the gap between theoretical swarm algorithms and real-world applications, making him a notable figure in the growing domain of cooperative autonomous systems.
Research Focus
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