C. Durieu

Papers

Total Citations

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About

C. Durieu’s research focuses on mobile robot navigation, sensor fusion, and statistical error modeling for autonomous systems. Their major contributions lie in developing robust localization methods that handle erroneous sensor data, particularly using ultrasonic and infrared beacon systems. In their most cited work, "Localization of a mobile robot with beacons taking erroneous data into account" (2003, 10 citations), Durieu established a realistic statistical model for measurement errors, validated through preliminary experiments, enhancing navigation reliability for inspection robots. Earlier foundational studies, such as "Navigation of a Mobile Robot with Ultrasonic Beacons" (1986, 3 citations) and "A Statistical Approach to Goniometric Robot Location including Data Fusion and Error Rejection" (1989, 2 citations), pioneered data fusion and error rejection techniques that improve accuracy in goniometric positioning. Though citation counts are modest, Durieu’s work is notable for its practical impact on early mobile robotics, emphasizing rigorous error analysis over heuristic approaches. Their research remains relevant for students and engineers exploring sensor-based localization, offering a principled framework for handling uncertainty in real-world robotic systems.