add one paper in planning
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@ -64,7 +64,7 @@ If you find this repository useful, please consider [citing](#citation) and STAR
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* **LLM-MCTS**: "Large Language Models as Commonsense Knowledge for Large-Scale Task Planning", *arXiv, May 2023*. [[Paper](https://arxiv.org/abs/2305.14078v1)]
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* "Collaborating with language models for embodied reasoning", *NeurIPS, Feb 2022*. [[Paper](https://arxiv.org/abs/2302.00763v1)]
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* **LLM-Brain**: "LLM as A Robotic Brain: Unifying Egocentric Memory and Control", arXiv, Apr 2023. [[Paper](https://arxiv.org/abs/2304.09349v1)]
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* **Co-LLM-Agents**: "Building Cooperative Embodied Agents Modularly with Large Language Models", *arXiv, Jul 2023*. [[Paper](https://arxiv.org/abs/2307.02485)] [[Code](https://github.com/UMass-Foundation-Model/Co-LLM-Agents)] [[Website](https://vis-www.cs.umass.edu/Co-LLM-Agents/)]
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## Manipulation
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