Panagiotis Partsinevelos

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About

Panagiotis Partsinevelos is a leading researcher in autonomous robotics, specializing in multi-robot collaboration, unmanned aerial vehicle (UAV) navigation, and planetary exploration. His work bridges critical gaps in field robotics, particularly for search and rescue and space missions. His most-cited paper (69 citations) introduces a groundbreaking framework for aerial and ground robot collaboration in autonomous mapping for humanitarian crises, enabling operations in hazardous environments where human intervention is impossible. He also developed a ROS-based multi-tier UAV localization module (16 citations) that fuses GNSS, inertial, and visual-depth data, allowing drones to navigate reliably in GNSS-denied environments—a vital capability for indoor or subterranean rescue operations. In planetary robotics, Partsinevelos has advanced lunar terrain segmentation using a modified U-Net neural network (9 citations), enabling rovers to autonomously understand unstructured landscapes. His work is notable for its direct application to life-saving missions and space exploration, demonstrating how intelligent robotic systems can operate in the most extreme conditions. With a growing citation impact, Partsinevelos is shaping the future of autonomous field robotics.