Ricardo Correia
Papers
1
Total Citations
3
H-Index
1
About
Ricardo Correia is a leading researcher at the intersection of robotics, artificial intelligence, and marine ecology, with a primary focus on developing autonomous systems for environmental monitoring. His work centers on the innovative use of unmanned aerial vehicles (UAVs) and autonomous surface vehicles (ASVs) to map and understand coastal and marine habitats. A major contribution is his pioneering approach to cross-platform machine learning, where data from flying robots is used to train floating robots, enabling accurate seafloor mapping across varying depths. His most-cited paper, "Flying Robots Teach Floating Robots—A Machine Learning Approach for Marine Habitat Mapping Based on Combined Datasets" (2025), has already garnered 3 citations, highlighting its early impact. By combining UAV photogrammetry for shallow waters with acoustic methods for deeper zones, Correia has created a scalable, cost-effective framework for high-fidelity habitat classification. His work is instrumental in advancing autonomous environmental sensing, with implications for conservation, resource management, and climate change monitoring.
Research Focus
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Top Papers
- 1