Emanuele Vivoli
Papers
1
Total Citations
27
H-Index
1
About
Emanuele Vivoli is a researcher at the forefront of applying artificial intelligence and robotics to critical humanitarian challenges. His primary research areas include deep learning for computer vision, autonomous robotic systems, and real-time object detection, with a specific focus on demining and environmental safety. Vivoli’s most notable contribution is his pioneering work on the real-time detection of surface landmines using optical imaging, as detailed in his highly cited 2024 paper, which has already garnered 27 citations. In this study, he introduced a novel system integrated within a demining robot, leveraging YOLOv8 models to achieve high-recall detection in real time—a breakthrough that significantly enhances the safety and efficiency of landmine clearance operations. This work stands out for its direct societal impact, bridging cutting-edge AI with life-saving applications. Vivoli’s research not only advances the field of robotic perception but also demonstrates a powerful model for deploying deep learning in high-stakes, real-world environments, making him a rising figure in applied machine learning and humanitarian technology.
Research Focus
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Top Papers
- 1