Marco Bertini
Papers
1
Total Citations
27
H-Index
1
About
Marco Bertini is a leading researcher at the intersection of computer vision, deep learning, and humanitarian robotics. His work focuses on developing intelligent systems that leverage visual perception for critical real-world applications, most notably in the detection of surface landmines. His highly cited 2024 paper, "Deep Learning-Based Real-Time Detection of Surface Landmines Using Optical Imaging," introduces a pioneering system that integrates YOLOv8 models into a demining robot, achieving high recall in real-time detection. This contribution directly addresses a pressing global safety challenge, demonstrating how advanced AI can be deployed for life-saving purposes. With 27 citations and growing, Bertini’s research is recognized for its practical impact and technical innovation. His work not only advances the field of real-time object detection but also sets a new standard for applying deep learning in autonomous, high-stakes environments, making him a key figure in the development of socially beneficial robotics.
Research Focus
Key Achievements
Top Papers
- 1