RoboVQA is a high level reasoning model for robotics. Here we release example code for interacting with the released dataset.
For more details about the project, see robovqa.github.io
Run the Colab file data_loading_and_eval.ipynb. Follow the inline comments for
detailed instructions.
@inproceedings{robovqa2023arxiv,
title={RoboVQA: Multimodal Long-Horizon Reasoning for Robotics},
author={Pierre Sermanet and Tianli Ding and Jeffrey Zhao and Fei Xia and Debidatta Dwibedi and Keerthana Gopalakrishnan and Christine Chan and Gabriel Dulac-Arnold and Sharath Maddineni and Nikhil J Joshi and Pete Florence and Wei Han and Robert Baruch and Yao Lu and Suvir Mirchandani and Peng Xu and Pannag Sanketi and Karol Hausman and Izhak Shafran and Brian Ichter and Yuan Cao},
booktitle={arXiv preprint arXiv:2311.00899},
year={2023}
}Copyright 2023 DeepMind Technologies Limited
All software is licensed under the Apache License, Version 2.0 (Apache 2.0); you may not use this file except in compliance with the Apache 2.0 license. You may obtain a copy of the Apache 2.0 license at: https://www.apache.org/licenses/LICENSE-2.0
All other materials are licensed under the Creative Commons Attribution 4.0 International License (CC-BY). You may obtain a copy of the CC-BY license at: https://creativecommons.org/licenses/by/4.0/legalcode
Unless required by applicable law or agreed to in writing, all software and materials distributed here under the Apache 2.0 or CC-BY licenses are distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the licenses for the specific language governing permissions and limitations under those licenses.
This is not an official Google product.