{"id":5507,"date":"2026-05-06T08:57:24","date_gmt":"2026-05-06T07:57:24","guid":{"rendered":"https:\/\/mecatron.rma.ac.be\/?page_id=5507"},"modified":"2026-05-06T09:35:52","modified_gmt":"2026-05-06T08:35:52","slug":"mantuano-leonardo","status":"publish","type":"page","link":"https:\/\/mecatron.rma.ac.be\/index.php\/people\/mantuano-leonardo\/","title":{"rendered":"Leonardo Mantuano"},"content":{"rendered":"

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Researcher<\/span><\/h4>\n

Robotics & Autonomous Systems,
Royal Military Academy<\/p>\n

Address<\/h4>\n

Avenue De La Renaissance 30, 1000 Brussels, Belgium<\/p>\n

Contact Information<\/h4>\n

Call<\/strong>: –<\/p>\n

Email<\/strong>: Leonardo.Mantuano@mil.be<\/a><\/p>\n

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Leonardo is a robotics researcher at the Robotics & Autonomous Systems unit of the Department of Mechanics of the Belgian Royal Military Academy. His research focuses on UAV visual navigation.<\/div>\n
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He acquired his Master\u2019s degree in Automation and Control Engineering from\u00a0Politecnico di Milano<\/a>\u00a0in 2025, with a focus on advanced control theory and autonomous systems.<\/div>\n
During his first year of Master’s degree he gained experience in developing estimation algorithm by being member of the Guidance, Navigation and Control team of the\u00a0Skyward Experimental Rocketry<\/a>\u00a0student association. During his Master’s Thesis, instead, he focused on the development of algorithms for urban autonomous cars as member of the\u00a0AIDA Research Group<\/a>\u00a0at Politecnico di Milano. His thesis focused on the development of a perception system to increase positioning accuracy of detected stalled vehicles and the implementation of an efficient and robust smart road communication protocol management system to enhance road safety information management.<\/div>\n
In 2026, Leonardo joined the Belgian Royal Military Academy to contribute to the\u00a0ATTENTION<\/a>\u00a0project, with the aim of developing a GNSS-denied visual navigation system for UAVs, without relying on any active sensors.<\/div>\n<\/div>\n

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