Oliver Urbann is a junior research group leader and machine learning team head at Fraunhofer IML with a decade of experience at the intersection of robotics, computer vision, and ML compilers. He earned a summa cum laude Dr.-Ing. in computer science and has a track record of turning student projects into world-class outcomes, including a RoboCup Standard Platform League Outdoor world championship in bipedal locomotion. Oliver built a compiler that converts deep models into optimized C, which seeded the AI Arena project and was integrated into LLVM and adopted by industry partners like Google and NXP. He co-founded a startup on multi-object tracking and applies simulation-to-real methods and guided reinforcement learning to fast dynamic robots, work that earned Best Paper nominations and collaboration with MIT. Comfortable bridging fundamental research and industrial deployment, he focuses on making resource-constrained, real-world robotic systems robust and performant. An underappreciated strength is his ability to close the loop from system ID through cyclic RL to produce reproducible sim-to-real transfers for humanoid platforms.
10 years of coding experience
8 years of employment as a software developer
Dr.-Ing., Computer Science, summa cum laude, Dr.-Ing., Computer Science, summa cum laude at Technische Universität Dortmund
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Oliver Urbann - Junior Research Group Leader at Fraunhofer IML