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ETH Zürich's 12-week robot learning course, taught this spring by @oier_mees…

Brief

ETH Zürich's 12-week robot learning course, taught this spring by @oier_mees, spans classical control and MDPs through modern foundation-model topics such as transformers, world models, generative models, and generalist robot policies. The syllabus includes two weeks of reinforcement learning and guest talks from University of Washington, Georgia Tech, CMU, Google DeepMind, Physical Intelligence, and Meta; lectures are on YouTube and materials on GitHub (mees-robot-learning-course/ethz-course-2026).

Source evidence

One of the hottest robotics courses just dropped! 🧯

Fundamentals to foundation models straight from ETH Zürich.

Everyone that has interest in robotics should dig into this course.

Whether you are an investor, a student, a robotics guy, a non-robotics guy interested in physical AI.

It's a gold mine!

The one and only @oier_mees taught robot learning at ETH Zürich this spring which was a 12-week course covering classical techniques to latest advances in large-scale models.

Syllabus covered:

→ Robot Control & MDPs, Imitation Learning, Reinforcement Learning (two weeks),
→ Generative Models, Sequence Modeling & Transformers,
→ World Models, Generalist Robot Policies, Embodied Reasoning, Frontier Problems.

Guest speakers included professors from University of Washington, Georgia Institute of Technology, Carnegie Mellon University, Google DeepMind, Physical Intelligence, Meta, and more.

All lectures were recorded and are available on YouTube. Course materials on GitHub (mees-robot-learning-course/ethz-course-2026).

Here is the course: cvg.ethz.ch/lectures/Robot-L…

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