Max Robotics — Global Service Robot Directory + US Certification

About

William Dubois is an emerging robotics researcher whose work centers on precise localization, ground-truth data collection, and autonomous navigation in challenging outdoor environments. His research addresses a critical bottleneck in the field: the need for highly accurate reference trajectories to benchmark and develop Simultaneous Localization and Mapping (SLAM) algorithms. Through his investigations into Robotic Total Stations (RTSs), Dubois has made meaningful contributions to both the methodology and tooling available to the robotics community. His 2023 papers on extrinsic calibration and uncertainty analysis — each garnering 6 citations — establish rigorous frameworks for deploying RTSs to generate reliable ground-truth positioning data. Building on this foundation, his 2024 dataset paper, RTS-GT, provides the community with a carefully curated benchmark that meets the precision demands of modern SLAM research. More recently, Dubois has extended his focus to off-road autonomous navigation, exploring how terrain-vehicle interactions introduce unpredictability in motion models. Though early in his career, his consistent output across localization, benchmarking, and uncrewed ground vehicle dynamics positions him as a promising contributor to the advancement of robust, real-world autonomous systems.