Luc Robert

Carnegie Mellon University, Centre Inria d'Université Côte d'Azur

Papers

Total Citations

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About

Luc Robert is a pioneering researcher in computer vision and robotics, with a primary focus on non-metric vision, stereoscopic perception, and visually guided robotic navigation. His major contributions lie in developing methods for robots to perceive and interact with three-dimensional environments using stereo vision, often leveraging projective geometry to derive orientation cues and depth information from multiple cameras. Robert's most-cited work, "Applications of Non-Metric Vision to some Visually Guided Robotics Tasks" (1995, 53 citations), demonstrates how non-metric approaches can effectively guide robotic actions without requiring precise 3D reconstructions, a foundational concept for efficient robot navigation. His earlier studies, such as "Deriving orientation cues from stereo images" (1994, 14 citations) and his doctoral thesis on stereoscopic perception of curves and surfaces (1993, 9 citations), further advanced the integration of stereo vision into mobile robotics. Though his citation counts are modest, Robert's work is notable for its early and rigorous application of projective geometry to real-world robotic tasks, influencing subsequent research in autonomous navigation and 3D perception. His contributions remain relevant for students and researchers exploring vision-based robotics.