{"id":5127,"date":"2025-03-06T08:31:21","date_gmt":"2025-03-06T07:31:21","guid":{"rendered":"https:\/\/mecatron.rma.ac.be\/?page_id=5127"},"modified":"2025-03-06T08:31:21","modified_gmt":"2025-03-06T07:31:21","slug":"lorenzo-capaldo","status":"publish","type":"page","link":"https:\/\/mecatron.rma.ac.be\/index.php\/people\/lorenzo-capaldo\/","title":{"rendered":"Lorenzo Capaldo"},"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>: Lorenzo.Capaldo@mil.be<\/a><\/p>\n

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Lorenzo 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 Swarms.<\/p>\n

He acquired his Master’s degree in Autonomous Systems from the Technical University of Denmark<\/a> in 2024 with a focus on control theory and a thesis in developing adaptive control methods for cruise vessels.<\/p>\n

He then worked for the Danish-Ukrainian startup Dropla Tech<\/a> as responsible for an ESA Kickoff project in Anti-Jamming Swarm navigation in GNSS-denied environments.<\/p>\n

In 2025, Lorenzo joined RMA to work on the European Defence Fund project STEALTH<\/a>, aimed at enhancing technological capability in autonomous GNSS-free navigation in adverse conditions for UAV swarms.<\/p>\n

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