Francesco Di Corato
Papers
2
Total Citations
100
H-Index
2
About
Francesco Di Corato is a leading researcher in underwater robotics, with a primary focus on autonomous navigation systems for Autonomous Underwater Vehicles (AUVs). His work addresses one of the most critical challenges in marine robotics: developing reliable navigation strategies in environments where satellite positioning is unavailable. Di Corato’s major contribution lies in pioneering the application of the Unscented Kalman Filter (UKF) for AUV navigation, a method that significantly improves state estimation accuracy and robustness in complex underwater conditions. His most influential paper, “An unscented Kalman filter based navigation algorithm for autonomous underwater vehicles” (2016), has garnered 96 citations, underscoring its impact on the field. This work, alongside his earlier foundational study (2015), establishes a comprehensive framework for integrating sensor data to ensure mission success. Di Corato’s innovative approach has become a reference point for researchers and engineers developing next-generation autonomous marine systems, directly contributing to safer and more efficient underwater exploration, surveillance, and industrial operations.
Research Focus
Key Achievements
Top Papers
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