Benjamin Naujoks

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About

Benjamin Naujoks is a robotics researcher specializing in autonomous driving, particularly in unstructured and non-urban environments. His work centers on developing robust perception, navigation, and control systems for self-driving vehicles operating outside of well-mapped city streets. A key contribution is his role in the MuCAR (Munich Cognitive Autonomous Robot) team, which achieved the top score in the convoy scenario at the ELROB 2016 robotics trial. The corresponding paper, with 10 citations, details their winning system, including a novel multi-sensor data fusion method that proved critical in challenging competition conditions. Naujoks also made significant advances in long-range autonomous navigation with his work on teach-and-repeat systems. His 2017 paper (6 citations) presents a system where a vehicle learns a route by following a human guide, tracked via a marker-less LiDAR-based algorithm, enabling reliable transportation tasks in non-urban settings without GPS. This research addresses a critical gap in autonomy for agriculture, mining, and logistics. Naujoks’s contributions demonstrate a practical, competition-validated approach to making autonomous vehicles robust in the real world, bridging the gap between structured urban driving and the complexities of off-road environments.