ImageNet Classification with Deep Convolutional Neural Networks
A deep convolutional network demonstrated how data, GPU computation and learned representations could transform visual recognition.
THE RESEARCH ATLAS
UnifoLM-VLA-0: A Vision-Language-Action (VLA) Framework under UnifoLM Family
Continues training on robot manipulation data, connecting visual-language understanding and spatial instructions to action prediction.
Institution and location sources
Location refers to credited institutions or the listed organization, not author citizenship or an exhaustive collaboration list.
2026-01-29 · Official code and weights release
Why read this
Trace how multimodal implementations enter robot training and inference. An open-source release is not a peer-reviewed paper.
What it connects
The acknowledgements identify code inherited from Qwen2.5-VL, Isaac-GR00T, Open-X, openvla-oft and InternVLA-M1.
Official implementation and model release
Code reuse does not establish transfer of every model capability; task and hardware coverage follow the project evaluation.
Follow these connections ↗Sources for relations and versions
Citation
@misc{unitree2026unifolm,
title = {UnifoLM-VLA-0: A Vision-Language-Action (VLA) Framework under UnifoLM Family},
author = {Unitree},
year = {2026},
url = {https://github.com/unitreerobotics/unifolm-vla}
}Rights remain with the original authors. Refer to the original source for citations and licensing.
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