Pedro Frau

Papers

Total Citations

H-Index

About

Pedro Frau’s research sits at the intersection of aerial robotics, computer vision, and human-robot collaboration, with a focused application in autonomous surface inspection. His work addresses the critical challenge of enabling aerial robots to autonomously inspect hard-to-reach areas, such as industrial structures or infrastructure, by integrating onboard cameras with advanced computer vision techniques. Frau’s most influential contribution, “A Collaborative Approach for Surface Inspection Using Aerial Robots and Computer Vision” (2018), has garnered 19 citations, establishing a foundation for autonomous inspection missions. In this work, he pioneered methods that allow aerial robots to navigate and assess surfaces with minimal human intervention, significantly boosting operational efficiency and safety. Building on this, his 2017 paper on human-robot cooperation introduced a mixed-initiative interaction model, enabling seamless collaboration between human operators and drones during inspection tasks. Though less cited, this work is notable for its forward-looking framework that balances autonomy with human oversight—a key consideration for real-world deployment. Frau’s research is particularly impactful for students and engineers interested in field robotics, offering practical solutions that bridge perception, control, and cooperative systems. His contributions continue to influence the development of safer, more autonomous aerial inspection technologies.