Sign inGet started
Dataset · Hugging Face

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 / organizationyuchensong
License (as declared)cc-by-4.0
Downloads322 (as reported by Hugging Face)
Likes0
Created26 July 2026
Last updated at source23 September 2026
LeRobotroboticsbimanualteleoperationmanipulationdexterous-handguardrails
Embed this entry
<iframe src="https://silytics.si/embed/item/678f19fc-f7d5-49c4-a260-92c80d80560a" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from Hugging Face and links to the original. Information may be incomplete or out of date. Last refreshed 16 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.