Antonio Coratelli
Papers
1
Total Citations
4
H-Index
1
About
Antonio Coratelli is a robotics researcher whose work centers on multi-robot systems, with a particular focus on cooperative perception and distributed mapping. His key contributions lie in developing algorithms that enable networks of mobile robots to collaboratively build 3D maps of unknown environments, even when the robots are heterogeneous—meaning they have different sensing and computational capabilities. His most-cited paper, "A Distributed Map Building Approach for Mobile Robotic Networks" (2018), addresses the fundamental challenge of mutual localization and cooperative mapping, proposing a scalable framework that enhances reliability and efficiency in multi-robot operations. This work has garnered 4 citations, establishing a foundation for further research in autonomous exploration and disaster response scenarios. Coratelli’s research is notable for its practical emphasis on real-world deployment, where robot teams must operate without centralized control or prior knowledge of their surroundings. By tackling the complexities of heterogeneous robot coordination, he contributes to advancing the robustness and autonomy of robotic networks, making his work relevant for students and researchers interested in distributed robotics, SLAM, and multi-agent systems.
Research Focus
Key Achievements
Top Papers
- 1A Distributed Map Building Approach for Mobile Robotic Networks4 citations · 2018