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@@ -58,6 +58,8 @@ If you find this repository useful, please consider [citing](#citation) and STAR
 
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 ## Planning
+* **Wonderful Team**: "Solving Robotics Problems in Zero-Shot with Vision-Language Models", *arXiv, Jul 2024*. [[Paper](https://www.arxiv.org/abs/2407.19094)] [[Code](https://github.com/wonderful-team-robotics/wonderful_team_robotics)] [[Website](https://wonderful-team-robotics.github.io/)]
+* "Embodied AI in Mobile Robots: Coverage Path Planning with Large Language Models", *arXiV, Jul 2024*, [[Paper](https://arxiv.org/abs/2407.02220)]
 * **FLTRNN**: "FLTRNN: Faithful Long-Horizon Task Planning for Robotics with Large Language Models", ICRA May 17th 2024, [[Paper](https://tannl.github.io/FLTRNN.github.io/FLTRNN_Faithful_Long_Horizon_Task_Planning_for_Robotics_with_Large_Language_Models.pdf)] [[Code](https://github.com/tannl/FLTRNN.github.io)] [[Website](https://tannl.github.io/FLTRNN.github.io/)]
 * **Embodied AI in Mobile Robots**: Coverage Path Planning with Large Language Models", *arXiV, Jul 2024*, [[Paper](https://arxiv.org/abs/2407.02220)]
 * **LLM-Personalize**: "LLM-Personalize: Aligning LLM Planners with Human Preferences via Reinforced Self-Training for Housekeeping Robots", *arXiv, Apr 2024*. [[Paper](https://arxiv.org/abs/2404.14285)] [[Website](https://donggehan.github.io/projectllmpersonalize/)] [[Code](https://github.com/donggehan/codellmpersonalize/)]