Fernando Coito

Universidade Nova de Lisboa, Instituto de Engenharia de Sistemas e Computadores Investigação e Desenvolvimento

Papers

Total Citations

H-Index

About

Fernando Coito’s research lies at the intersection of multi-robot systems, maritime surveillance, and adaptive control, with a focus on deploying autonomous technologies for critical search-and-rescue and military operations. His most cited work, “A cooperative multi-robot team for the surveillance of shipwreck survivors at sea” (2016, 61 citations), addresses the challenge of covering vast oceanic areas proactively—a task too costly for manned teams. By proposing a coordinated multi-robot framework, Coito offers a scalable solution for early detection and response to maritime disasters, significantly reducing operational costs. In earlier work, he developed a sensor fusion approach for mobile robot localization using vision and inertial data (2014, 10 citations), enhancing navigation reliability in industrial and domestic settings. His contributions extend to military applications, where he designed interoperable controllers for unmanned aerial systems in maritime environments (2017, 6 citations), improving reconnaissance and patrol capabilities. Coito’s foundational research on long-range adaptive controllers for robot manipulators (1991, 3 citations) demonstrates a lasting commitment to robust control theory. Through these contributions, he has advanced the practical deployment of autonomous systems in safety-critical maritime contexts, making him a notable figure in cooperative robotics and adaptive control.