Karl Pertsch
Member Of Technical Staff at University of California, Berkeley
Philadelphia, Pennsylvania, United States
Summary
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Rockstar🎓
Top SchoolKarl Pertsch is a Member of Technical Staff at Physical Intelligence and a postdoctoral researcher with affiliations at Stanford and UC Berkeley, based in Philadelphia with nine years of experience at the intersection of computer vision, robotics, and machine learning. He holds a PhD in Computer Science from USC and a Diplom-Ingenieur in Electrical Engineering from TU Dresden (GPA 3.95), and has held research visits at Berkeley’s RAIL Lab and UPenn’s GRASP Lab as a Fulbright scholar. His work focuses on cognitive learning for vision and robotics and spans both embodied AI research and applied systems for automotive and soft-robotics platforms. Karl combines rigorous academic methods with production-minded engineering from industry internships (BMW) and applied research roles, making him adept at turning lab prototypes into hardware-ready solutions.
10 years of coding experience
6 years of employment as a software developer
PhD, Computer Science, PhD, Computer Science at University of Southern CaliforniaDiplom-Ingenieurin (Dipl.Ing.), Electrical and Electronics Engineering, GPA: 3.95, Diplom-Ingenieurin (Dipl.Ing.), Electrical and Electronics Engineering, GPA: 3.95 at Technische Universität DresdenComputer Science, Computer Science at University of Pennsylvania
English, French, Japanese
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)
Github contributions (5)
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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