{"id":4940,"date":"2024-10-24T15:10:53","date_gmt":"2024-10-24T14:10:53","guid":{"rendered":"https:\/\/mecatron.rma.ac.be\/?page_id=4940"},"modified":"2024-11-08T17:52:06","modified_gmt":"2024-11-08T16:52:06","slug":"alessandra-miuccio","status":"publish","type":"page","link":"https:\/\/mecatron.rma.ac.be\/index.php\/people\/alessandra-miuccio\/","title":{"rendered":"Alessandra Miuccio"},"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>: Alessandra.miuccio@mil.be<\/a><\/p>\n

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Alessandra is a robotics researcher at the Robotics & Autonomous Systems unit of the Department of Mechanics of the Belgian Royal Military Academy.
She completed her Master’s Degree in Automation and Control Engineering at Politecnico di Milano<\/a>. During her studies, Alessandra\u2019s Master Thesis focused on free space detection, collision avoidance using B-Spline and design and realization of a Graphic User Interface for teleoperated robot in unknown environments. She developed her Master Thesis during a period abroad at the Tohoku University of Sendai, Japan<\/a>.
After her studies, Alessandra undertook a research fellowship at Politecnico di Milano. During this time, she worked on a Reinforcement Learning framework aimed at automating the manipulation of Deformable Linear Objects, as part of the Co-MIR PRIN project funded by Italian Government.
In 2024, Alessandra joined the RMA to work on the DREAM<\/a> project, aimed at enhancing reconnaissance and mapping operations using unmanned ground robots equipped with robotic arms and a VR command console. The project focuses on integrating these technologies to create a system that promotes accurate, efficient, and user-friendly situational awareness.<\/p>\n

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