# Karol Hausman

> Karol Hausman is a Polish robotics researcher and the co-founder and CEO of San Francisco-based Physical Intelligence. After studying mechatronics, robotics, and interactive perception, he worked on large-scale robot learning at Google Brain and DeepMind and taught at Stanford. His company develops general-purpose models meant to transfer skills across robots, tasks, and environments.

- **Role:** Co-founder and CEO, Physical Intelligence
- **Organizations:** Physical Intelligence, Google Brain, Google DeepMind, Stanford University, University of Southern California
- **From:** Koszalin, Poland
- **Nationality:** Polish
- **Education:** PhD in Computer Science, University of Southern California, MSc in Robotics, Technical University of Munich, BSc and MSc in Mechatronics, Warsaw University of Technology, Philosophy coursework toward a BA, University of Warsaw
- **Known for:** Co-founder and CEO of Physical Intelligence., Coauthor of SayCan, RT-2, Open X-Embodiment, and Physical Intelligence model releases., Co-instructor of Stanford CS 224R Deep Reinforcement Learning in 2023.

## Career timeline

- **2013-2018** — Completed a computer science PhD at USC on interactive perception and learned representations.
- **2018** — Joined Google Brain as a research scientist.
- **2021** — Began an adjunct professorship at Stanford; later co-taught deep reinforcement learning.
- **2023** — Coauthored RT-2 and Open X-Embodiment and gave an early-career keynote at CoRL.
- **2024** — Co-founded Physical Intelligence and became its CEO; the team released π0.
- **2025** — Coauthored Pi releases on generalization in new homes and learning from experience.
- **2026** — Coauthored the π0.7 release on a steerable robot model.

## Achievements

- Co-founder and CEO of Physical Intelligence.
- Coauthor of SayCan, RT-2, Open X-Embodiment, and Physical Intelligence model releases.
- Co-instructor of Stanford CS 224R Deep Reinforcement Learning in 2023.
- Early Career Keynote speaker at CoRL 2023.
- Coauthor of the ICRA 2023 Best Learning Paper, Code as Policies, and CoRL 2022 Special Innovation Award paper, SayCan.

## Latest updates

- **2026-04** — Coauthored Physical Intelligence’s π0.7 release on a steerable model with broader generalization.
- **2026-03** — Discussed Physical Intelligence and the path to general-purpose robots on The Generalist podcast.
- **2026-02** — Physical Intelligence described its model partnerships and deployments in The Physical Intelligence Layer.
- **2025-11** — Coauthored the π*0.6 release on learning from robot experience.

## Links

- Website: https://karolhausman.github.io/
- LinkedIn: https://www.linkedin.com/in/karolhausman
- Twitter/X: https://x.com/hausman_k

---

Profile page: https://yespress.io/karol-hausman
Published by YesPress — https://yespress.io
Last updated: 2026-09-29