Dataset · Hugging Face

H-EmbodVis/DOMINO

Name: DOMINO
Creator: H-EmbodVis
License: apache-2.0
Keywords: task_categories:robotics, language:en, license:apache-2.0, size_categories:100K<n<1M, arxiv:2603.15620, region:us, robotics, embodied-ai, dynamic-manipulation, vision-language-action, manipulation, trajectory

Towards Generalizable Robotic Manipulation in Dynamic Environments Heng Fang1, Shangru Li1, Shuhan Wang1, Xuanyang Xi2, Dingkang Liang1, Xiang Bai1 1 Huazhong University of Science and Technology, 2 Huawei Technologies Co. Ltd 🔍 Overview Dynamic manipulation requires robots to continuously adapt to moving objects and unpredictable environmental changes. Existing Vision-Language-Action (VLA) models rely on static single-frame observations, failing to… See the full description on the dataset page: https://huggingface.co/datasets/H-EmbodVis/DOMINO.

View on Hugging FaceReport an issue

Author / organization	H-EmbodVis
License (as declared)	apache-2.0
Downloads	4.2K (as reported by Hugging Face)
Likes	4
Created	23 March 2026
Last updated at source	27 March 2026

roboticsembodied-aidynamic-manipulationvision-language-actionmanipulationtrajectory

Embed this entry

<iframe src="https://silytics.si/embed/item/d9caeede-3cb5-4b36-a2e1-10ba95c71640" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

More from H-EmbodVis

H-EmbodVis/NautDataDataset

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 Information may be incomplete or out of date.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.