From b52e6828cd5ecbfd3e7dd40782a690de29d0f2ea Mon Sep 17 00:00:00 2001
From: Xiangrui Kong <110509826+xrkong@users.noreply.github.com>
Date: Mon, 8 Jul 2024 23:39:49 +0800
Subject: [PATCH] adjust time

---
 README.md | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/README.md b/README.md
index 69d4cfb..0ca2259 100755
--- a/README.md
+++ b/README.md
@@ -19,13 +19,14 @@ If you find this repository useful, please consider [citing](#citation) and STAR
 
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 ## Surveys
+* "A Superalignment Framework in Autonomous Driving with Large Language Models", *arXiv, Jun 2024*, [[Paper](https://arxiv.org/abs/2406.05651)]
 * "Neural Scaling Laws for Embodied AI", *arXiv, May 2024*. [[Paper](https://arxiv.org/abs/2405.14005)]
 * "Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis", *arXiv, Dec 2023*. [[Paper](https://arxiv.org/abs/2312.08782)] [[Paper List](https://github.com/JeffreyYH/robotics-fm-survey)] [[Website](https://robotics-fm-survey.github.io/)] 
 * "Language-conditioned Learning for Robotic Manipulation: A Survey", *arXiv, Dec 2023*, [[Paper](https://arxiv.org/abs/2312.10807)] 
 * "Foundation Models in Robotics: Applications, Challenges, and the Future", *arXiv, Dec 2023*, [[Paper](https://arxiv.org/abs/2312.07843)] [[Paper List](https://github.com/robotics-survey/Awesome-Robotics-Foundation-Models)]
 * "Robot Learning in the Era of Foundation Models: A Survey", *arXiv, Nov 2023*, [[Paper](https://arxiv.org/abs/2311.14379)]
 * "The Development of LLMs for Embodied Navigation", *arXiv, Nov 2023*, [[Paper](https://arxiv.org/abs/2311.00530)]
-* "A Superalignment Framework in Autonomous Driving with Large Language Models", *arXiv, Jun 2024*, [[Paper](https://arxiv.org/abs/2406.05651)]
+
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 ## Reasoning
 * **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)]
@@ -55,6 +56,7 @@ If you find this repository useful, please consider [citing](#citation) and STAR
 
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 ## Planning
+* "Embodied AI in Mobile Robots: Coverage Path Planning with Large Language Models", *arXiV, Jul 2024*, [[Paper](https://arxiv.org/abs/2407.02220)] 
 * **BTGenBot**: "BTGenBot: Behavior Tree Generation for Robotic Tasks with Lightweight LLMs", *arXiv, March 2024*. [[Paper](https://arxiv.org/abs/2403.12761)][[Github](https://github.com/AIRLab-POLIMI/BTGenBot)]
 * **Attentive Support**: "To Help or Not to Help: LLM-based Attentive Support for Human-Robot Group Interactions", *arXiv, March 2024*. [[Paper](https://arxiv.org/abs/2403.12533)] [[Website](https://hri-eu.github.io/AttentiveSupport/)][[Code](https://github.com/HRI-EU/AttentiveSupport)]
 * **Beyond Text**: "Beyond Text: Improving LLM's Decision Making for Robot Navigation via Vocal Cues", *arxiv, Feb 2024*. [[Paper](https://arxiv.org/abs/2402.03494)]
@@ -93,7 +95,6 @@ If you find this repository useful, please consider [citing](#citation) and STAR
 * **ZSP**: "Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents", *ICML, Jan 2022*. [[Paper](https://arxiv.org/abs/2201.07207)] [[Pytorch Code](https://github.com/huangwl18/language-planner)] [[Website](https://wenlong.page/language-planner/)]
 * **CALM**: "Keep CALM and Explore: Language Models for Action Generation in Text-based Games", *arXiv, Oct 2020*. [[Paper](https://arxiv.org/abs/2010.02903)] [[Pytorch Code](https://github.com/princeton-nlp/calm-textgame)] 
 * "Visually-Grounded Planning without Vision: Language Models Infer Detailed Plans from High-level Instructions", *arXiV, Oct 2020*, [[Paper](https://arxiv.org/abs/2009.14259)] 
-* "Embodied AI in Mobile Robots: Coverage Path Planning with Large Language Models", *arXiV, Jul 2024*, [[Paper](https://arxiv.org/abs/2407.02220)] 
 
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 ## Manipulation