Karl Pertsch

Member Of Technical Staff at Stanford University

Philadelphia, Pennsylvania, United States
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Summary

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Rockstar
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Karl Pertsch is a Member of Technical Staff and researcher with a decade of experience at the intersection of computer vision, robotics, and machine learning, currently splitting time between Physical Intelligence and postdoctoral roles at Stanford and UC Berkeley. He holds a PhD in Computer Science from USC and built a strong foundation in 6D pose estimation, RGB/RGB‑D reconstruction, and reinforcement-learned control through projects at TU Dresden, Penn GRASP, Berkeley RAIL, and industry internships at BMW. Karl’s work spans both academic research and applied systems—designing perception pipelines robust to heavy occlusion and energy-optimized driving strategies—making him adept at moving novel algorithms toward real-world robotics applications. Based in Philadelphia, he combines rigorous engineering (Dipl.-Ing. with a 3.95 GPA) with a track record of cross-institutional collaboration that often bridges simulation, ROS-based deployment, and lab-to-field transition.
code10 years of coding experience
job6 years of employment as a software developer
bookPhD, Computer Science, PhD, Computer Science at University of Southern California
bookDiplom-Ingenieurin (Dipl.Ing.), Electrical and Electronics Engineering, GPA: 3.95, Diplom-Ingenieurin (Dipl.Ing.), Electrical and Electronics Engineering, GPA: 3.95 at Technische Universität Dresden
bookComputer Science, Computer Science at University of Pennsylvania
languagesEnglish, French, Japanese
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Github Skills (26)

reinforcement-learning9
datasets9
deep-reinforcement-learning9
machine-learning8
benchmark8
robotics7
tensorflow7
robotics-simulation7
deep-learning6
hierarchical6
planning5
computer-vision5
numpy5
horizon4
robot3

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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clvrai/spirl

Oct 2020 - Apr 2022

Official implementation of "Accelerating Reinforcement Learning with Learned Skill Priors", Pertsch et al., CoRL 2020
Contributions:45 commits, 10 PRs, 50 pushes in 1 year 6 months
corllearnedreinforcement-learningdeep-reinforcement-learningrobot-learning
clvrai/skild

Jul 2021 - Mar 2022

Contributions:40 commits, 1 PR, 35 pushes in 8 months
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Karl Pertsch - Member Of Technical Staff at Stanford University