Jack Klusmann
Research Scientist at TECHNISCHE UNIVERSITAT MUNCHEN
San Francisco, California, United States
Summary
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Senior🎓
Top SchoolJack Klusmann is a robotics researcher and master's student at the Technical University of Munich, currently applying data-driven control and simulation to spiral-shaped soft continuum robots as a visiting researcher in NUS's Soft Robotics Lab. He previously led the RoboTUM Simulation Team for the Humanoid Robot Project, coordinating cross-disciplinary engineering efforts and shaping a vision-perception pipeline. As a research assistant at TUM, he helped build multi-camera data exchange pipelines, trained YOLO-based object detectors, and implemented a Kalman Filter for a Structure-from-Motion application. His academic path spans a B.Sc. in Informatics from TUM and an M.Sc. in Robotics, Cognition, and Intelligence, with an international stint at NUS for his master's thesis. With eight years of combined academic and project-based experience, he blends hands-on development with research rigor and is keen to explore roles at the intersection of machine learning, perception, and soft robotics.
8 years of coding experience
2 years of employment as a software developer
Bachelor of Science (B.Sc.), Informatics, Passed with Merit, Bachelor of Science (B.Sc.), Informatics, Passed with Merit at Technical University MunichMaster of Science (M.Sc.), Robotics, Cognition, and Intelligence, Master of Science (M.Sc.), Robotics, Cognition, and Intelligence at Technical University of MunichExchange Student & Master's Thesis, Soft Robotics, Exchange Student & Master's Thesis, Soft Robotics at National University of Singapore
English, German, Spanish
Stackoverflow
1reputation
0reached
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Github contributions (5)
Jack1305/Tic-Tac-Toe
Aug 2017 - Aug 2017
Contributions:3 pushes, 1 branch in 1 day
Jack-Klusmann/yolo5_object_detection_realsense_cpp
Sep 2024 - Sep 2024
Contributions:3 pushes, 2 branches in 1 day
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