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robot learning
imitation learning
No Lock-In: A Round Trip Between LeRobotDataset v3 and RLDS with FoodforThought
A practical guide to moving robot-demonstration datasets between formats: importing Hugging Face LeRobotDataset v3 and Open X-Embodiment (RLDS) into FoodforThought, and exporting labeled recordings back out to LeRobotDataset v3 and RLDS — the open standards the robot-learning ecosystem actually trains on.
May 28, 202611 min read
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robot learning
A Practical Guide to Action-Segmentation Labeling for Robot-Demonstration Video
How to label robot-demonstration video accurately: frame-exact in/out points, overlap and gap rules, temporal-IoU consensus QC, and exporting clean segments to LeRobotDataset v3 and RLDS. Includes a 2-minute hands-on try-flow.
May 25, 202610 min read
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