Attribution and source policy

Primary course source

This roadmap follows the topic sequence of ETH Zurich’s Spring 2026 course Robot Learning: From Fundamentals to Foundation Models, taught by Oier Mees.

The ETH course page, lecture recordings, slide decks, papers, and official homework repository remain the property of their respective authors and publishers.

What is included here

The study guides, SVG concept diagrams, discussion prompts, session plans, and build milestones in this repository are original SRA VJTI study-group material. They summarize general technical ideas and point readers to primary sources.

Republished lecture decks

The 11 lecture decks are reproduced as 515 page-faithful JPEG renders under redistribution permission confirmed for this repository. These renders preserve the original slide layouts, text, figures, and images. They retain the copyright and reuse terms of the source decks and are not covered by this repository’s MIT license.

The access password is not stored in the repository or website. Permission to view these renders does not automatically grant permission to reuse individual third-party images contained within the decks.

Citation practice

When adding material:

1. Link to the original paper, project page, lecture, or documentation.
2. Clearly distinguish a source’s reported result from our own observation.
3. Prefer paraphrase and original diagrams unless redistribution permission is recorded.
4. Record licenses before reusing code, datasets, or images.