Dataset · Hugging Face

JokerESC/ForceFlow

Name: ForceFlow
Creator: JokerESC
License: mit
Keywords: task_categories:robotics, license:mit, size_categories:100K<n<1M, format:parquet, modality:tabular, library:datasets, library:dask, library:polars, library:mlcroissant, region:us, robotics, manipulation, contact-rich-manipulation, force-torque, imitation-learning

ForceFlow Dataset ForceFlow: Learning to Feel and Act via Contact-Driven Flow Matching [Project Page] | [Code] Contact-rich manipulation remains one of the hardest problems in robot learning: vision alone cannot capture the high-frequency contact dynamics that determine whether a plug seats correctly, a stamp triggers cleanly, or a wipe exerts consistent pressure. This dataset is collected to support ForceFlow, a force-aware reactive framework built on flow matching that… See the full description on the dataset page: https://huggingface.co/datasets/JokerESC/ForceFlow.

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Author / organization	JokerESC
License (as declared)	mit
Downloads	162 (as reported by Hugging Face)
Likes	2
Created	10 May 2026
Last updated at source	11 May 2026

roboticsmanipulationcontact-rich-manipulationforce-torqueimitation-learningflow-matchingzarr

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