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license: apache-2.0
datasets:
- allenai/molmobot-data
language:
- en
base_model:
- allenai/Molmo2-4B
pipeline_tag: robotics
tags:
- robotics
- manipulation
---
# MolmoBot-DROID
[[arXiv](https://arxiv.org/abs/2603.16861)] [[Project Website](https://allenai.github.io/MolmoBot)] [[Code](https://github.com/allenai/MolmoBot/tree/main/MolmoBot)] [[Data](https://huggingface.co/datasets/allenai/molmobot-data)]
MolmoBot-DROID is the MolmoBot VLA trained on simulation data on the DROID platform, **without any real robot data**. See [here](https://github.com/allenai/MolmoBot/tree/main/MolmoBot) for usage instructions. In the paper, it is also referred to as `MolmoBot (F=2)`.
## BibTeX
```
@misc{deshpande2026molmobot,
title={MolmoB0T: Large-Scale Simulation Enables Zero-Shot Manipulation},
author={Abhay Deshpande and Maya Guru and Rose Hendrix and Snehal Jauhri and Ainaz Eftekhar and Rohun Tripathi and Max Argus and Jordi Salvador and Haoquan Fang and Matthew Wallingford and Wilbert Pumacay and Yejin Kim and Quinn Pfeifer and Ying-Chun Lee and Piper Wolters and Omar Rayyan and Mingtong Zhang and Jiafei Duan and Karen Farley and Winson Han and Eli Vanderbilt and Dieter Fox and Ali Farhadi and Georgia Chalvatzaki and Dhruv Shah and Ranjay Krishna},
year={2026},
eprint={2603.16861},
archivePrefix={arXiv},
primaryClass={cs.RO},
url={https://arxiv.org/abs/2603.16861},
}
```
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