Marc Proesmans

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About

Marc Proesmans is a pioneering researcher at the intersection of robotics, computer vision, and cultural heritage preservation. His primary research areas include autonomous navigation, 3D sensing, and digital heritage documentation, with a focus on developing innovative solutions for challenging environments. Proesmans is best known for his groundbreaking work on the ROVINA project, where he led efforts to explore and map the Priscilla Catacombs using mobile robots, demonstrating how autonomous systems can navigate complex, rescue-like scenarios with demanding sensing requirements. His contributions include a novel approach to digitizing cultural heritage sites, integrating robotic platforms with cloud-based information systems for comprehensive data management. Proesmans also developed a unique sensor that simultaneously extracts 3D shape and surface texture using a single camera and projected pattern, offering cost-effective solutions for autonomous navigation and virtual reality. With over 20 citations across his most influential works, his research has laid the foundation for advanced robotic exploration in historically significant and hazardous environments. His work not only advances robotics but also provides critical tools for preserving humanity’s cultural legacy.