# Awesome-LLM-Robotics [](https://github.com/sindresorhus/awesome)
This repo contains a curative list of **papers using Large Language/Multi-Modal Models for Robotics/RL**. Template from [awesome-Implicit-NeRF-Robotics](https://github.com/zubair-irshad/Awesome-Implicit-NeRF-Robotics)
#### Please feel free to send me [pull requests](https://github.com/GT-RIPL/Awesome-LLM-Robotics/blob/main/how-to-PR.md) or [email](mailto:zkira-changetoat-gatech--changetodot-changetoedu) to add papers!
If you find this repository useful, please consider [citing](#citation) and STARing this list. Feel free to share this list with others!
---
## Overview
- [Reasoning](#reasoning)
- [Planning](#planning)
- [Manipulation](#manipulation)
- [Instructions and Navigation](#instructions-and-navigation)
- [Citation](#citation)
---
## Reasoning
* **Say-Can**: "Do As I Can, Not As I Say: Grounding Language in Robotic Affordances", *arXiv, Apr 2021*. [[Paper](https://arxiv.org/abs/2204.01691)] [[Colab](https://say-can.github.io/#open-source)] [[Website](https://say-can.github.io/)]
* **Socratic**: "Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language", *arXiv, Apr 2021*. [[Paper](https://arxiv.org/abs/2204.00598)] [[Pytorch Code](https://socraticmodels.github.io/#code)] [[Website](https://socraticmodels.github.io/)]
* **PIGLeT**: "PIGLeT: Language Grounding Through Neuro-Symbolic Interaction in a 3D World", *ACL, Jun 2021*. [[Paper](https://arxiv.org/abs/2201.07207)] [[Pytorch Code](http://github.com/rowanz/piglet)] [[Website](https://rowanzellers.com/piglet/)]
---
## Planning
* **LM-Nav**: "Robotic Navigation with Large Pre-Trained Models of Language, Vision, and Action", *arXiv, July 2022*. [[Paper](https://arxiv.org/abs/2207.04429)] [[Pytorch Code](https://github.com/blazejosinski/lm_nav)] [[Website](https://sites.google.com/view/lmnav)]
* **InnerMonlogue**: "Inner Monologue: Embodied Reasoning through Planning with Language Models", *arXiv, July 2022*. [[Paper](https://arxiv.org/abs/2207.05608)] [[Website](https://innermonologue.github.io/)]
* **Housekeep**: "Housekeep: Tidying Virtual Households using Commonsense Reasoning", *arXiv, May 2022*. [[Paper](https://arxiv.org/abs/2205.10712)] [[Pytorch Code](https://github.com/yashkant/housekeep)] [[Website](https://yashkant.github.io/housekeep/)]
* **LID**: "Pre-Trained Language Models for Interactive Decision-Making", *arXiv, Feb 2022*. [[Paper](https://arxiv.org/abs/2202.01771)] [[Pytorch Code](https://github.com/ShuangLI59/Language-Model-Pre-training-Improves-Generalization-in-Policy-Learning)] [[Website](https://shuangli-project.github.io/Pre-Trained-Language-Models-for-Interactive-Decision-Making/)]
* **ZSP**: "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents", *ICML, Jan 2022*. [[Paper](https://arxiv.org/abs/2201.07207)] [[Pytorch Code](https://github.com/huangwl18/language-planner)] [[Website](https://wenlong.page/language-planner/)]
---
## Manipulation
* **LaTTe**: "LaTTe: Language Trajectory TransformEr", *arXiv, Aug 2022*. [[Paper](https://arxiv.org/abs/2208.02918)] [[TensorFlow Code](https://github.com/arthurfenderbucker/NL_trajectory_reshaper)] [[Website](https://www.microsoft.com/en-us/research/group/autonomous-systems-group-robotics/articles/robot-language/)]
* **ZeST**: "Can Foundation Models Perform Zero-Shot Task Specification For Robot Manipulation?", *L4DC, Apr 2022*. [[Paper](https://arxiv.org/abs/2204.11134)]
* **LSE-NGU**: "Semantic Exploration from Language Abstractions and Pretrained Representations", *arXiv, Apr 2022*. [[Paper](https://arxiv.org/abs/2204.05080)]
* **Embodied-CLIP**: "Simple but Effective: CLIP Embeddings for Embodied AI ", *CVPR, Nov 2021*. [[Paper](https://arxiv.org/abs/2111.09888)] [[Pytorch Code](https://github.com/allenai/embodied-clip)]
* **CLIPort**: "CLIPort: What and Where Pathways for Robotic Manipulation", *CoRL, Sept 2021*. [[Paper](https://arxiv.org/abs/2109.12098)] [[Pytorch Code](https://github.com/cliport/cliport)] [[Website](https://cliport.github.io/)]
---
## Instructions and Navigation
* **ADAPT**: "ADAPT: Vision-Language Navigation with Modality-Aligned Action Prompts", *CVPR, May 2022*. [[Paper](https://arxiv.org/abs/2205.15509)]
* "The Unsurprising Effectiveness of Pre-Trained Vision Models for Control", *ICML, Mar 2022*. [[Paper](https://arxiv.org/abs/2203.03580)] [[Pytorch Code](https://github.com/sparisi/pvr_habitat)] [[Website](https://sites.google.com/view/pvr-control)]
* **CoW**: "CLIP on Wheels: Zero-Shot Object Navigation as Object Localization and Exploration", *arXiv, Mar 2022*. [[Paper](https://arxiv.org/abs/2203.10421)]
----
## Citation
If you find this repository useful, please consider citing this list:
```
@misc{kira2022llmroboticspaperslist,
title = {Awesome-LLM-Robotics},
author = {Zsolt Kira},
journal = {GitHub repository},
url = {https://github.com/GT-RIPL/Awesome-LLM-Robotics},
year = {2022},
}
```