Federico Pettinari
Papers
1
Total Citations
13
H-Index
1
About
Federico Pettinari is a researcher whose work lies at the intersection of multi-robot systems, adaptive algorithms, and decentralized coordination. His primary research areas include collective adaptive systems, swarm robotics, and the online multi-object k-coverage problem (OMOkC)—a challenge where mobile robots must sense a moving target from multiple distinct viewpoints without centralized control. Pettinari’s most notable contribution is his development of a decentralized, scalable approach to OMOkC, enabling robots to autonomously adapt their positions to maintain continuous, multi-perspective coverage of dynamic targets. His 2022 paper on this topic, which has garnered 13 citations, is a key reference in the field, demonstrating how collective intelligence can solve complex spatial tasks in real-time. This work is particularly impactful for applications in environmental monitoring, surveillance, and search-and-rescue operations, where robust, distributed sensing is critical. Pettinari’s research advances the frontier of autonomous systems by showing how simple, local rules can lead to sophisticated global behaviors, making him a notable figure in the study of adaptive multi-robot coordination.
Research Focus
Key Achievements
Top Papers
- 1