G. Fotopoulos

Papers

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About

G. Fotopoulos is a researcher specializing in low-cost, vision-based navigation systems for mobile robots, particularly in GNSS-denied indoor environments. Their most significant contribution is the development of a novel algorithm for visual-inertial navigation that fuses position and heading data from inertial sensors and cameras, enabling reliable autonomous movement without satellite signals. This work, published in 2020 as "Low-cost Indoor Vision-Based Navigation for Mobile Robots," has garnered 4 citations, demonstrating its emerging impact in the field of robotics and sensor fusion. Fotopoulos's research addresses critical challenges in indoor robotics, such as navigation in GPS-denied spaces, and offers cost-effective solutions for real-world applications. Their work is notable for its practical approach to integrating low-cost sensors, making advanced navigation accessible for smaller-scale robotic systems. As a researcher, Fotopoulos contributes to advancing autonomous navigation technologies, with potential implications for search-and-rescue, warehouse automation, and personal robotics. Their focus on affordability and performance positions them as a key figure in the ongoing development of robust, vision-based navigation solutions.