Johannes Betz is an Assistant Professor at TUM leading the Autonomous Vehicle Systems Lab, with nine years of experience in algorithmic robot motion planning, control, and learning for safety-critical autonomy. He develops adaptive dynamic path-planning and decision-making under uncertainty for multi-agent environments and validates methods on real robotic platforms, blending theory with hands-on system integration. His background spans postdoctoral research at UPenn and extensive industry-linked work at TUM on vehicle dynamics, embedded systems, and motorsport autonomy (Roborace & Indy Autonomous Challenge). Johannes pairs a Dr.-Ing. in automotive technology with an M.A. in philosophy, reflecting a rare combination of technical rigor and attention to ethical/ conceptual aspects of trustworthy autonomy. Based in Munich, he actively seeks collaboration to translate provable algorithms into deployed, high-integrity robotic systems.
8 years of coding experience
10 years of employment as a software developer
Bachelor of Engineering (B.Eng.), Automotive Technology, Bachelor of Engineering (B.Eng.), Automotive Technology at Hochschule Coburg
A-Levels, Abitur, A-Levels, Abitur at Gymnasium Burgkunstadt
Doktor-Ingenieur (Dr.-Ing.), Institute of Automotive Technology, Doktor-Ingenieur (Dr.-Ing.), Institute of Automotive Technology at Technische Universität München
Master of Science (M.Sc.), Automotive Technology, Master of Science (M.Sc.), Automotive Technology at Universität Bayreuth
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