{"id":4773,"date":"2024-01-12T09:46:17","date_gmt":"2024-01-12T08:46:17","guid":{"rendered":"https:\/\/mecatron.rma.ac.be\/?page_id=4773"},"modified":"2026-01-19T15:42:01","modified_gmt":"2026-01-19T14:42:01","slug":"mario-malizia","status":"publish","type":"page","link":"https:\/\/mecatron.rma.ac.be\/index.php\/people\/mario-malizia\/","title":{"rendered":"Mario Malizia"},"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

Email<\/strong>: Mario.Malizia@mil.be<\/a><\/span><\/p>\n

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Mario is a robotic researcher at the Robotics & Autonomous Systems unit of the Department of Mechanics of the Belgian Royal Military Academy. His research focuses on developing solutions for assisted teleoperation in semi-autonomous demining contexts.<\/p>\n

He earned his Bachelor’s and Master’s degrees from Politecnico di Milano<\/a> in 2020 and 2023, respectively, with a thesis focused on developing a simulator-in-the-loop for autonomous navigation stack validation.<\/span><\/p>\n

He then worked as a researcher at mOve Research Team<\/a> focusing on autonomous driving applications in on-road and off-road contexts.<\/p>\n

He was involved in the development of an autonomous vehicle<\/a> that took part in the 1000Miglia 2023 race in Italy.<\/p>\n

In 2024, Mario joined the Belgian Royal Military Academy to contribute to the BELGIAN project<\/a> responsible for developing a new concept of semi-autonomous assisted teleoperation for the Belgian Army EOD Group<\/a>.<\/p>\n

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