Researcher —
Matteo Frosi is a Research Assistant at the Artificial Intelligence and Robotics Laboratory (AIRLab), DEIB, Politecnico di Milano. He received his Bachelor Degree, Master Degree and Ph.D. in Computer Science Engineering at Politecnico di Milano in 2016, 2019 and 2023, respectively. His primary research interests revolve around Simultaneous Localization and Mapping (SLAM), sensor fusion, and 3D reconstruction systems for mobile robots operating in challenging environments. He has worked extensively on multiple technologies, leveraging data from LiDAR, camera, IMU, GNSS, and radar sensors to develop versatile and adaptable SLAM frameworks.
Beyond academic research, Matteo has gained substantial experience through collaborative projects with industry, including partnerships with companies in the agricultural automation and autonomous inspection sectors. These collaborations have allowed him to apply theoretical advancements to real-world applications, addressing problems such as navigation in unstructured outdoor environments, long-term autonomy in indoor logistics, and mapping for infrastructure inspection.
Matteo is also committed to academic mentorship and knowledge dissemination, frequently supervising Master’s theses and supporting project-based learning within AIRLab. He is involved in organizing lab activities, supporting the use of robotic platforms, and contributing to the preparation of scientific publications. His research outcomes have been presented at international conferences in robotics and computer vision, further enriching the scientific discourse on localization and perception in autonomous systems.
Contacts
Mail: matteo.frosi@polimi.it
Scholar profile: https://scholar.google.com/citations?hl=it&user=8hMpResAAAAJ
Department’s page: https://www.deib.polimi.it/ita/personale/dettagli/959826