Nov 19 - Visualizing and Debugging Hugging Face's LeRobot Data

AI Professionals San Francisco Machine Learning & Agentic AI This workshop is a hands-on tour of what actually breaks when you load real LeRobot datasets, and how Voxel51's native LeRobot support in FiftyOne catches it. Date, Time and Location Nov 19, 2026 9:00 AM - 10:00 AM PST Online. Register for the Zoom! (https://voxel51.com/events/lerobot-workshop-november-19-2026) Robot learning data doesn't look like the data that trains most vision-language models. It's temporal, low-dimensional in the parts that matter most, embodiment-specific, and expensive to collect, and increasingly, it's shipped in Hugging Face's LeRobot format. But packaging robot data consistently isn't the same as being able to see it: episodes hide broken metadata, silently dropped sensor modalities, and mismatched schemas between robots that look identical on paper. Starting from the core differences that make robot data hard (temporal structure, proprioception, action grounding, embodiment heterogeneity, data scarcity), we'll move into live debugging: a metadata bug that broke multiple dataset imports, sensor streams that vanish without an error, and two robots running an identical benchmark whose data is structurally incompatible. By the end, you'll know what to check before you trust a LeRobot dataset, and how to actually look inside one.