Summary
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.
8 years of coding experience
Master of Science (M.Sc.) Robotics Cognition and Intelligence, Master of Science (M.Sc.) Robotics Cognition and Intelligence at Technical University of Munich
Exchange Student & Master's Thesis Soft Robotics, Exchange Student & Master's Thesis Soft Robotics at National University of Singapore
English, German, Spanish