Laurent Robert

Papers

Total Citations

H-Index

About

Laurent Robert is a leading researcher in autonomous mobile robotics, with a particular focus on multisensor integration for reliable navigation. His work bridges inertial sensing and computer vision, addressing the fundamental challenge of enabling robots to perceive and correct their trajectories in real time. His most cited paper, "Autonomous navigation of a mobile robot using inertial and visual cues" (2002), demonstrates a reactive visual module that, combined with inertial data, allows a robot to autonomously adjust its path without human intervention. This contribution has been foundational for researchers developing robust, real-world navigation systems, earning 28 citations and influencing subsequent work in sensor fusion and autonomous control. Robert’s approach emphasizes practical implementation and experimental validation, making his research directly applicable to field robotics. His achievements highlight the critical role of combining complementary sensing modalities to overcome the limitations of individual sensors, a principle now central to modern autonomous systems. For students and researchers, Robert’s work offers a clear example of how thoughtful integration of low-cost sensors can yield powerful, reactive autonomy.