Jack Klusmann

Autonomous Vehicle Researcher at General Motors

Detroit, Michigan, United States
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Summary

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Jack Klusmann is an Autonomous Vehicle Researcher with 8 years of experience advancing perception, simulation, and learning for robotic and autonomous driving systems. Currently at General Motors, he focuses on data-driven control and high-fidelity simulation to enable safe, human-centered vehicle behaviors. His background spans soft-robotics control and real-to-sim transfer from research stints at NUS and Singapore-MIT, and practical multi-camera perception and augmented-reality digital twin work from TUM. He has led simulation teams for humanoid legged robots and built cross-disciplinary pipelines that bridge kinematics, dynamics, and human–robot interaction. Jack blends strong academic training in robotics, cognition, and informatics with hands-on engineering in IsaacSim, YOLO-based perception, and mixed-reality teleoperation. Colleagues describe him as a pragmatist who targets intuitive human–machine collaboration, not just incremental algorithmic gains.
code9 years of coding experience
bookMaster of Science (M.Sc.), Robotics, Cognition, and Intelligence, Master of Science (M.Sc.), Robotics, Cognition, and Intelligence at Technical University of Munich
bookExchange Student & Master's Thesis, Soft Robotics, Exchange Student & Master's Thesis, Soft Robotics at National University of Singapore
languagesEnglish, German, Spanish
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Stackoverflow

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Github Skills (5)

augmented-reality-applications8
oculus-quest8
openxr8
piano8
augmented-reality5

Programming languages (1)

C++

Github contributions (5)

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Contributions:1 push in 2 years 6 months
Contributions:65 pushes in 5 months
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