Researcher
Robotics & Autonomous Systems,
Royal Military Academy
Address
Avenue De La Renaissance 30, 1000 Brussels, Belgium
Contact Information
Email: Marnix.Enting@mil.be
Marnix is a researcher in the Robotics and Autonomous Systems unit of the Department of Mechanics at the Royal Military Academy of Belgium. His research is focused on developing multi-spectral 3D reconstruction solutions to enhance operator control for Explosive Ordnance Disposal.
He earned his Bachelor’s in Aerospace Engineering at Delft University of Technology, followed by a Master’s in Space Engineering and finally Robotics at the same institution, graduating in 2024. For his master’s thesis, Marnix developed a Neural Radiance Field (NeRF) method for 3D reconstruction of autonomous driving scenarios, with a focus on assessing its compression capabilities compared to traditional methods.
During his studies, he developed an interest in Robotics and Computer Vision while participating in various extracurricular activities. This hands-on experience sparked his curiosity about perception systems and their role in autonomous decision-making.
In 2025, Marnix joined the Belgian Royal Military Academy to work on the GUIDED project, which focuses on making EOD operations safer, more efficient, and user-friendly, particularly by improving threat detection and reducing the mental burden on operators.
Publications