Jan Hakenberg

Papers

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About

Jan Hakenberg is a roboticist whose work centers on multi-agent systems, autonomous navigation, and adaptive control in dynamic environments. His most impactful contribution is the development of the "+1 Method," a model-free adaptive repositioning policy for robotic fleets solving the dynamic traveling repairman and vehicle routing problems. This work, published in 2020 with 41 citations, provides a scalable framework for coordinating multiple robots in spatially distributed tasks where demand and conditions shift unpredictably—critical for applications like disaster response or logistics. Hakenberg’s earlier research on the Marsokhod rover (2009) demonstrates his hands-on expertise in hardware integration and autonomy, including backlash compensation for arm joints and wheel calibration for load sensing. He also contributed to the AI Driving Olympics at NeurIPS 2018, a competition pushing the boundaries of autonomous driving in complex, real-world settings. By bridging theoretical policy design with practical robotic systems, Hakenberg’s work offers students and researchers a clear example of how adaptive algorithms can make multi-agent teams more efficient and resilient in the field.