Angel Ortega
Papers
2
Total Citations
15
H-Index
2
About
Angel Ortega is a leading researcher in the field of autonomous robotic inspection, with a specific focus on aerial robotics for industrial infrastructure. Her work centers on developing advanced flight path generation and navigation techniques that enable drones to autonomously inspect complex, hazardous environments—such as power plant boilers—without direct human control. Ortega’s major contributions include pioneering methods to convert 3D CAD models into optimized, collision-free inspection flight paths, significantly reducing both human risk and equipment downtime. Her most cited paper, "Autonomous aerial flight path inspection using advanced manufacturing techniques" (2022, 9 citations), demonstrates how robotic systems can safely navigate dangerous components in power plants. Her earlier work, "Drone Inspection Flight Path Generation from 3D CAD Models: Power Plant Boiler Case Study" (2020, 6 citations), established a foundational approach for applying digital twins to real-world inspection tasks. Together, these studies have shaped the integration of robotics and manufacturing principles for energy sector maintenance. Ortega’s research is highly influential for students and engineers working at the intersection of robotics, computer vision, and industrial safety, offering practical solutions for automating inspection in high-risk environments.
Research Focus
Key Achievements
Top Papers
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