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@@ -29,7 +29,8 @@ If you find this repository useful, please consider [citing](#citation) and STAR
 
 * **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/)]
 * **LEO**: "An Embodied Generalist Agent in 3D World", *arXiv, Nov 2023*. [[Paper](https://arxiv.org/abs/2311.12871)] [[Code](https://github.com/embodied-generalist/embodied-generalist)] [[Website](https://embodied-generalist.github.io/)]
-* **Robogen**: "A generative and self-guided robotic agent that endlessly propose and master new skills.", *arXiv, Nov 2023*. [[Paper](https://arxiv.org/abs/2311.01455)] [[Code](https://github.com/Genesis-Embodied-AI/RoboGen)] [[Website](https://robogen-ai.github.io/)] 
+* **Robogen**: "A generative and self-guided robotic agent that endlessly propose and master new skills.", *arXiv, Nov 2023*. [[Paper](https://arxiv.org/abs/2311.01455)] [[Code](https://github.com/Genesis-Embodied-AI/RoboGen)] [[Website](https://robogen-ai.github.io/)]
+* **SayPlan**: "Grounding Large Language Models using 3D Scene Graphs for Scalable Robot Task Planning", *Conference on Robot Learning (CoRL), Nov 2023*. [[Paper](https://arxiv.org/abs/2307.06135)] [[Website](https://sayplan.github.io/)]
 * **[LLaRP]** "Large Language Models as Generalizable Policies for Embodied Tasks", *arXiv, Oct 2023*.
 [[Paper](https://arxiv.org/abs/2310.17722)] [[Website](https://llm-rl.github.io)]
 * **[RT-X]** "Open X-Embodiment: Robotic Learning Datasets and RT-X Models", *arXiv, July 2023*.