Papers
40
Total Citations
810
H-Index
15
About
Riccardo Costanzi is a prominent robotics and autonomous systems researcher whose work centers on autonomous underwater vehicles (AUVs), navigation algorithms, and marine robotics. Based at the University of Florence's Mechatronics and Dynamic Modelling Laboratory, he has made significant contributions to the fields of state estimation, sensor fusion, and underwater robot design. Costanzi's most influential work focuses on robust navigation under challenging conditions. His attitude estimation algorithm for mobile robots operating under unknown magnetic disturbances (110 citations) and his Unscented Kalman Filter-based navigation framework for AUVs (96 citations) have become key references in autonomous vehicle navigation research. He has also advanced sea current estimation techniques, enabling AUVs to navigate more accurately in dynamic ocean environments. Beyond algorithmic contributions, Costanzi has led practical hardware development, including the MARTA AUV — a modular vehicle purpose-built for underwater archaeology — emerging from the ARROWS FP7 European project (75 citations). His work on marine robots for surveillance (74 citations) and unmanned maritime vehicle interoperability further demonstrates his breadth across both defense and scientific applications. With over 600 cumulative citations, Costanzi's research meaningfully bridges theoretical navigation science and real-world underwater robotics deployment.
Research Focus
Key Achievements
Top Papers
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- 5Marine Robots for Underwater Surveillance74 citations · 2020
- 6Sea currents estimation during AUV navigation using Unscented Kalman Filter47 citations · 2017
- 7Single axis FOG aided attitude estimation algorithm for mobile robots40 citations · 2015
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