Joris Guerry

Université Paris-Saclay, Office National d'Études et de Recherches Aérospatiales, Électricité de France (France)

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About

Joris Guerry is a leading researcher in robotics and computer vision, with a focus on 3D scene understanding and human-robot interaction. His work bridges the gap between perception and action, enabling robots to interpret their environments and collaborate effectively with humans. Guerry’s most influential contribution is the development of SnapNet-R, a groundbreaking approach for consistent 3D multi-view semantic labeling in robotics. This work, which has garnered 82 citations, allows robots to synthesize and label 3D scene observations coherently, significantly enhancing their ability to navigate and interact with complex environments. In addition, Guerry has advanced multimodal people detection, proposing innovative fusion techniques for RGBD sensors that improve a robot’s capacity to identify and engage with humans—a critical capability for social robotics. His research on intuitive 6D virtual guide programming for human-robot comanipulation further demonstrates his commitment to practical, user-friendly robotic systems. By reducing physical effort and cognitive load, these virtual guides improve task accuracy and safety in collaborative settings. Guerry’s work is widely recognized for its impact on autonomous navigation, assistive robotics, and human-robot collaboration, making him a key figure in the field.