yuchensong/glide_data
GLIDE: Learning Beyond What Humans Can Demonstrate Yuchen Song , Aditya Mittal , Unnat Jain TL;DR: GLIDE uses closed-loop, self-refined guardrails to make infeasible robot manipulation tasks demonstrable, learnable, and the trained policies more reliable to deploy. This repository hosts the real-robot demonstration datasets used to train the GLIDE π₀.₅ policies. The robot runtime used to collect the data and evaluate policies is in… See the full description on the dataset page: https://huggingface.co/datasets/yuchensong/glide_data.
| Author / organization | yuchensong |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 322 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 26 July 2026 |
| Last updated at source | 23 September 2026 |
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