Panos Grigoriou
Papers
1
Total Citations
3
H-Index
1
About
Dr. Panos Grigoriou is a pioneering researcher at the intersection of robotics, machine learning, and marine ecology, whose work is transforming how we map and monitor underwater habitats. His key research areas include autonomous surface and aerial vehicles (ASVs and UAVs), sensor fusion, and AI-driven environmental surveying. Dr. Grigoriou’s major contribution lies in developing a novel machine learning framework that enables flying robots (UAVs) to “teach” floating robots (ASVs) how to interpret acoustic data for benthic habitat mapping. This cross-domain transfer learning approach overcomes the limitations of shallow-water photogrammetry, allowing high-fidelity seafloor classification at greater depths. His most-cited paper, “Flying Robots Teach Floating Robots—A Machine Learning Approach for Marine Habitat Mapping Based on Combined Datasets” (2025, 3 citations), exemplifies his innovative methodology. Though early in its citation trajectory, this work has already garnered attention for its potential to revolutionize coastal management and conservation. Dr. Grigoriou’s research promises to make large-scale, cost-effective marine habitat mapping a reality, bridging the gap between aerial and underwater robotics.
Research Focus
Key Achievements
Top Papers
- 1