{"id":5088,"date":"2025-01-16T17:21:28","date_gmt":"2025-01-16T16:21:28","guid":{"rendered":"https:\/\/mecatron.rma.ac.be\/?page_id=5088"},"modified":"2025-01-16T17:22:07","modified_gmt":"2025-01-16T16:22:07","slug":"theo-engels","status":"publish","type":"page","link":"https:\/\/mecatron.rma.ac.be\/index.php\/people\/theo-engels\/","title":{"rendered":"Th\u00e9o Engels"},"content":{"rendered":"

<\/div><\/div><\/div><\/div><\/div><\/section>
\n\n \"\" <\/div>\n
<\/p>\n

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>: theo.engels@mil.be<\/a><\/span><\/p>\n

\n<\/div><\/div><\/div>

<\/p>\n
Th\u00e9o Engels is a researcher in the Robotics & Autonomous Systems unit of the Department of Mechanics at the Belgian Royal Military Academy. He contributes to the\u00a0FORCES<\/a>\u00a0project, which leverages the memory safety features of the Rust programming language to improve the security and reliability of robotic systems in the face of cyber threats.<\/div>\n
\u00a0<\/div>\n
He holds a Master\u2019s degree in Software Engineering from\u00a0ECAM Brussels Engineering School,<\/a>\u00a0earned in 2024.<\/div>\n
\u00a0<\/div>\n
During his studies, he discovered his passion for robotics engineering while participating in the Eurobot competition. This experience inspired him to focus on embedded systems, robotics, and artificial intelligence.<\/div>\n
\u00a0<\/div>\n
His master\u2019s thesis involved developing a real-time obstacle detection system for ground robots using machine learning. This system was specifically designed for autonomous robots\u00a0used in equine arena harrowing, developed in collaboration with\u00a0Quimesis<\/a>\u00a0and\u00a0Equestrian Technolog<\/a>y.<\/div>\n

\n<\/div><\/div><\/div>