https://github.com/OSU-NLP-Group/LLM-Planner
[ICCV'23] LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models
https://github.com/OSU-NLP-Group/LLM-Planner
Last synced: 5 months ago
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[ICCV'23] LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models
- Host: GitHub
- URL: https://github.com/OSU-NLP-Group/LLM-Planner
- Owner: OSU-NLP-Group
- License: mit
- Created: 2023-07-13T01:25:24.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2025-03-26T07:25:16.000Z (over 1 year ago)
- Last Synced: 2025-05-24T19:04:04.384Z (about 1 year ago)
- Language: C
- Homepage: https://osu-nlp-group.github.io/LLM-Planner/
- Size: 23.2 MB
- Stars: 187
- Watchers: 9
- Forks: 21
- Open Issues: 1
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models
Code for [LLM-Planner](https://arxiv.org/abs/2212.04088).
Check [project website](https://dki-lab.github.io/LLM-Planner/) for an overview and a demo.
## What's Here
- `hlp/`: A high-level prompt generator and kNN dataset from our paper. Just bring your low-level controller (and an LLM)!
- `e2e/`: A end-to-end agent that uses a LLM-Planner.
## Quickstart
Check out the `hlp/` and `e2e/` README for more details.
## Implementation Examples
We provide examples of how the community has been using our work. We appreciate everyone's interest!
- **[DEDER](https://arxiv.org/abs/2412.11499)** – *ICML 2024*
- **[ReALFRED](https://arxiv.org/abs/2407.18550)** – *ECCV 2024*
- **[ExRAP](https://proceedings.neurips.cc/paper_files/paper/2024/hash/7bacd0ebd061d4694583ae0eb69ad15f-Abstract-Conference.html)** – *NeurIPS 2024*
- **[FLARE](https://arxiv.org/abs/2412.17288)** – *AAAI 2025*
- **[NeSyC](https://arxiv.org/abs/2503.00870)** – *ICLR 2025*
- **[Socratic Planner](https://arxiv.org/abs/2404.15190)** – *ICRA 2025*
## Acknowledgements
We thank [OSUNLP](https://x.com/osunlp) for providing valuable feedback and suggestions.
## License
- LLM-Planner - MIT License
## Contact
Questions or issues? File an issue or contact [Luke Song](https://chanh.ee)
## Citation Information
```
@InProceedings{song2023llmplanner,
author = {Song, Chan Hee and Wu, Jiaman and Washington, Clayton and Sadler, Brian M. and Chao, Wei-Lun and Su, Yu},
title = {LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models},
booktitle = {Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV)},
month = {October},
year = {2023},
}
```