Robot Learning: A Tutorial

This is an interactive tutorial hosted as a browser demo, walking through the concepts behind robot learning — imitation learning, policy training, data collection — using the LeRobot framework as the running example. It is not a product; it is educational material that doubles as onboarding documentation for the LeRobot ecosystem. The value is that it runs entirely in the browser, so an ML engineer or researcher curious about physical robot policy training can get oriented without cloning a repo and debugging dependencies first. The content is solid for someone crossing over from general ML into robotics for the first time. It will not teach you anything new if you already work in embodied AI. Reservation: as a tutorial rather than a tool, it has a short shelf life — once you have read it, it is done. It is a one-time resource, not a recurring utility. -> Best for: ML researcher or AI engineer exploring robotics for the first time