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@ -26,6 +26,7 @@ If you find this repository useful, please consider [citing](#citation) and STAR
* "The Development of LLMs for Embodied Navigation", *arXiv, Nov 2023*, [[Paper](https://arxiv.org/abs/2311.00530)] * "The Development of LLMs for Embodied Navigation", *arXiv, Nov 2023*, [[Paper](https://arxiv.org/abs/2311.00530)]
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## Reasoning ## Reasoning
* **SPAG**: "Self-playing Adversarial Language Game Enhances LLM Reasoning", *arXiv, April 2024*. [[Paper](https://arxiv.org/abs/2404.10642)] [[Code](https://github.com/Linear95/SPAG)]
* **CLEAR**: "Language, Camera, Autonomy! Prompt-engineered Robot Control for Rapidly Evolving Deployment", *ACM/IEEE International Conference on Human-Robot Interaction (HRI), Mar 2024*. [[Paper](https://dl.acm.org/doi/10.1145/3610978.3640671)] [[Code](https://github.com/MITLL-CLEAR)] * **CLEAR**: "Language, Camera, Autonomy! Prompt-engineered Robot Control for Rapidly Evolving Deployment", *ACM/IEEE International Conference on Human-Robot Interaction (HRI), Mar 2024*. [[Paper](https://dl.acm.org/doi/10.1145/3610978.3640671)] [[Code](https://github.com/MITLL-CLEAR)]
* **MoMa-LLM**: "Language-Grounded Dynamic Scene Graphs for Interactive Object Search with Mobile Manipulation", *arXiv, Mar 2024*. [[Paper](https://arxiv.org/abs/2403.08605)] [[Code](https://github.com/robot-learning-freiburg/MoMa-LLM)] [[Website](http://moma-llm.cs.uni-freiburg.de/)] * **MoMa-LLM**: "Language-Grounded Dynamic Scene Graphs for Interactive Object Search with Mobile Manipulation", *arXiv, Mar 2024*. [[Paper](https://arxiv.org/abs/2403.08605)] [[Code](https://github.com/robot-learning-freiburg/MoMa-LLM)] [[Website](http://moma-llm.cs.uni-freiburg.de/)]
* **AutoRT**: "Embodied Foundation Models for Large Scale Orchestration of Robotic Agents", *arXiv, Jan 2024*. [[Paper](https://auto-rt.github.io/static/pdf/AutoRT.pdf)] [[Website](https://auto-rt.github.io/)] * **AutoRT**: "Embodied Foundation Models for Large Scale Orchestration of Robotic Agents", *arXiv, Jan 2024*. [[Paper](https://auto-rt.github.io/static/pdf/AutoRT.pdf)] [[Website](https://auto-rt.github.io/)]