Johannes Betz

Assistant Professor at University of Pennsylvania

Munich, Bavaria, Germany
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Summary

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Senior
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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.
code8 years of coding experience
job10 years of employment as a software developer
bookBachelor of Engineering (B.Eng.), Automotive Technology, Bachelor of Engineering (B.Eng.), Automotive Technology at Hochschule Coburg
bookA-Levels, Abitur, A-Levels, Abitur at Gymnasium Burgkunstadt
bookDoktor-Ingenieur (Dr.-Ing.), Institute of Automotive Technology, Doktor-Ingenieur (Dr.-Ing.), Institute of Automotive Technology at Technische Universität München
bookMaster of Science (M.Sc.), Automotive Technology, Master of Science (M.Sc.), Automotive Technology at Universität Bayreuth
languagesGerman, English
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Github Skills (37)

tracks10
sphinx-extension10
automotive10
restructuredtext9
reinforcement-learning9
simulator9
artificial-intelligence9
sphinx9
machine-learning9
gymnasium9
control-systems9
sphinx-doc8
documentation8
robotics8
simulation8

Programming languages (4)

C++ShellTeXPython

Github contributions (5)

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Autonomous Literature Overview
Contributions:68 commits, 5 PRs, 55 pushes in 1 year 1 month
nlppath-planningautonomousdeep-learningmachine-learning
Contributions:46 commits, 31 pushes in 8 months
automotiveartificialmachine-learningtechnical-universitymunich
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