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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
A comprehensive list of papers using large language/multi-modal models for Robotics/RL, including papers, codes, and related websites
| Date | Stars |
|---|---|
| 2026-07-31 | 4439 |
| 2026-08-02 | 4439 |
| 2026-08-04 | 4441 |
| 2026-08-06 | 4441 |
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# Awesome-LLM-Robotics [](https://github.com/sindresorhus/awesome) This repo contains a curative list of **papers using Large Language/Multi-Modal Models for Robotics/RL**. Template from [awesome-Implicit-NeRF-Robotics](https://github.com/zubair-irshad/Awesome-Implicit-NeRF-Robotics) <br> #### Please feel free to send me [pull requests](https://github.com/GT-RIPL/Awesome-LLM-Robotics/blob/main/how-to-PR.md) or [email](mailto:zkira-changetoat-gatech--changetodot-changetoedu) to add papers! Please make sure to put in reverse chronological order and follow the format carefully! <br> If you find this repository useful, please consider [citing](#citation) and STARing this list. Feel free to share this list with others! --- ## Overview - [Awesome-LLM-Robotics ](#awesome-llm-robotics-) - [Overview](#overview) - [Surveys](#surveys) - [Reasoning](#reasoning) - [Planning](#planning) - [Manipulation](#manipulation) - [Instructions and Navigation](#instructions-and-navigation) - [Simulation Frameworks](#simulation-frameworks) - [Safety, Risks, Red Teaming, and Adversarial Testing](#safety-risks-red-teaming-and-adversarial-testing) - [Libraries and Tools](#libraries-and-tools) - [Citation](#citation) --- ## Surveys * "Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses", *arXiv, May 2026*, [[Paper](https://arxiv.org/abs/2605.02900)] [[Website](https://x-zheng16.github.io/Awesome-Embodied-AI-Safety/)] * "A Survey of Robotic Language Grounding: Tradeoffs between Symbols and Embeddings", *IJCAI, Aug 2024*, [[Paper]](https://arxiv.org/abs/2405.13245) * "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)] * "On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS)", *ICAPS, May 2024*, [[Paper]](https://ojs.aaai.org/index.php/ICAPS/article/view/31503) [[Website]](https://ai4society.github.io/LLM-Planning-Viz/) * "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)] --- ## Reasoning * **RoboTracer**: "RoboTracer: Mastering Spatial Trace with Reasoning in Vision-Language Models for Robotics", *arXiv, Dec 2025*. [[Paper](https://arxiv.org/abs/2512.13660)] [[Code](https://github.com/Zhoues/RoboTracer)] [[Website](https://zhoues.github.io/RoboTracer/)] * **RoboRefer**: "RoboRefer: Towards Spatial Referring with Reasoning in Vision-Language Models for Robotics", *arXiv, June 2025*. [[Paper](https://arxiv.org/abs/2506.04308)] [[Code](https://github.com/Zhoues/RoboRefer)] [[Website](https://zhoues.github.io/RoboRefer/)] * **RoboSpatial**: "RoboSpatial: Teaching Spatial Understanding to 2D and 3D Vision-Language Models for Robotics", CVPR, June 2025. [[Paper](https://arxiv.org/abs/2411.16537)] [[Code](https://github.com/NVlabs/RoboSpatial)] [[Website](https://chanh.ee/RoboSpatial/)] * **RobotxR1**: "RobotxR1: Enabling Embodied Robotic
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Siyuan Huang · Shanghai AI Lab · China
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Bernard Tan · Tsinghua University · China
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Yen-Jen Wang · UC Berkeley & Amazon FAR · United States
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Koichiro Kato
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Beihang University · China
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Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:5eaded24c6bb9183, name:robotics, desc:robotics