Summary
Stefano Rosa is a research fellow at the University of Oxford with 13 years of experience building perception and navigation systems for mobile and service robots, blending computer vision, ROS, and machine learning to bring common-sense intuitive physics to robotics. His background spans academia and industry research—from Telecom Italia Lab to Politecnico di Torino and IIT—where he developed visual SLAM, long-term localization, and 3D vision algorithms for space and assistive robotics. Proficient in Python, C/C++, and TensorFlow/OpenCV/PCL toolkits, he couples hands-on implementation with a strong interest in human-robot interaction and open-source OS ecosystems. An active researcher with publications and a GitHub portfolio, he uniquely marries cloud and on-robot solutions to tackle cross-modal learning for safe human-robot coexistence.
13 years of coding experience
5 years of employment as a software developer
Master's degree, Computer Engineering (Virtual Reality & Multimedia), Master's degree, Computer Engineering (Virtual Reality & Multimedia) at Politecnico di Torino
English, French