Awesome

PlaTe: Visually-Grounded Planning with Transformers in Procedural Tasks

[ 📺 Website | 🏗 Github Repo | 🎓 Paper ]

Requirements

• PyTorch >= 1.4
• CrossTask Dataset

Data Preparation

Follow this folder structure to prepare the dataset:

.
└── crosstask
    ├── crosstask_features
    └── crosstask_release
        ├── tasks_primary.txt
        ├── videos.csv
        └── videos_val.csv

The data root is set here train_gpt.py.

How to Run

conda create -f environment.yml
bash srun.sh

Acknowledgement

We appreciate the following github repos a lot for their valuable code base implementations: joaanna/something_else, karpathy/minGPT.

Citation

@ARTICLE{PlaTe_RAL_2022,  
author={Sun, Jiankai and Huang, De-An and Lu, Bo and Liu, Yun-Hui and Zhou, Bolei and Garg, Animesh},  
journal={IEEE Robotics and Automation Letters},   
title={PlaTe: Visually-Grounded Planning With Transformers in Procedural Tasks},  
year={2022},  volume={7},  number={2},  pages={4924-4930},  
doi={10.1109/LRA.2022.3150855}}