Gerasimos Arvanitis

Papers

Total Citations

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About

Gerasimos Arvanitis is a leading researcher in 3D computer vision, robotics, and human-robot collaboration, with a focus on enhancing safety and efficiency in dynamic environments. His work centers on point cloud processing, where he has developed methods for real-time outlier and noise removal in 3D point clouds, critical for robotic applications—a contribution that has garnered 11 citations. Arvanitis made a significant impact with his participation in the SHREC 2023 benchmark on point cloud change detection for city scenes, a highly cited work (13 citations) that advances urban monitoring and autonomous navigation. In the realm of physical human-robot interaction, he pioneered a multi-stereo camera system that continuously monitors operator posture to improve ergonomics and safety during collaborative tasks, addressing a key challenge in Industry 4.0. His research, which bridges theoretical algorithms and practical robotic systems, has been recognized for its potential to transform how robots perceive and interact with their surroundings. With a growing citation record and a focus on real-world applications, Arvanitis is shaping the future of intelligent, human-aware robotics.