Wenhao Fu

Université d'Évry Val-d'Essonne, Nanyang Technological University

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About

Wenhao Fu is a robotics researcher whose work centers on autonomous navigation, sensor fusion, and robust localization for mobile robots operating in complex, real-world environments. His contributions address two critical challenges: maintaining reliable control despite sensor failures and improving the accuracy of state estimation in the presence of data corruption. In his highly cited 2013 paper (12 citations), Fu pioneered a visual servoing navigation strategy that integrates reactive collision avoidance with image-based control, enabling a mobile robot to reach a target location even when the visual target is temporarily lost. This work directly tackled a fundamental weakness in vision-based systems. More recently, in 2021, he advanced lidar-inertial localization by developing a novel outlier removal framework (4 citations). This system significantly enhances tracking accuracy during rapid rotations by filtering out corrupted lidar measurements, a common but often overlooked source of error in SLAM systems. Fu’s research is notable for its practical focus on system robustness, ensuring that autonomous platforms can maintain performance under the noisy and unpredictable conditions of the physical world.