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@ -42,6 +42,7 @@ If you find this repository useful, please consider [citing](#citation) and STAR
* **ProgPrompt**: "Generating Situated Robot Task Plans using Large Language Models", *arXiv, Sept 2022*. [[Paper](https://arxiv.org/abs/2209.11302)] [[Github](https://github.com/progprompt/progprompt)] [[Website](https://progprompt.github.io/)]
* **Code-As-Policies**: "Code as Policies: Language Model Programs for Embodied Control", *arXiv, Sept 2022*. [[Paper](https://arxiv.org/abs/2209.07753)] [[Colab](https://github.com/google-research/google-research/tree/master/code_as_policies)] [[Website](https://code-as-policies.github.io/)]
* **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/)]
* **SayPlan**: "Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning", *Conference on Robot Learning (CoRL), 2023*. [[Paper](https://arxiv.org/abs/2307.06135)] [[Website](https://sayplan.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/)]
* **Matcha**: "Chat with the Environment: Interactive Multimodal Perception using