Top AI Repos — open-source AI, indexed and scored
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.
This is a curated list of "Embodied AI or robot with Large Language Models" research. Watch this repository for the latest updates! 🔥
| Date | Stars |
|---|---|
| 2026-07-31 | 1840 |
| 2026-08-06 | 1844 |
| 2026-08-14 | 1849 |
| 2026-08-18 | 1853 |
| 2026-08-20 | 1853 |
| 2026-08-21 | 1854 |
| 2026-08-22 | 1855 |
| 2026-08-24 | 1856 |
| 2026-08-25 | 1857 |
| 2026-08-26 | 1858 |
| 2026-08-27 | 1861 |
| 2026-08-28 | 1860 |
| 2026-08-31 | 1863 |
| 2026-09-02 | 1865 |
| 2026-09-04 | 1867 |
| 2026-09-08 | 1867 |
| 2026-09-10 | 1868 |
| 2026-09-11 | 1877 |
| 2026-09-12 | 1878 |
| 2026-09-13 | 1879 |
| 2026-09-14 | 1880 |
| 2026-09-15 | 1883 |
| 2026-09-16 | 1884 |
| 2026-09-18 | 1885 |
| 2026-09-19 | 1887 |
| 2026-09-20 | 1888 |
| 2026-09-21 | 1891 |
| 2026-09-23 | 1892 |
| 2026-09-24 | 1893 |
| 2026-09-25 | 1892 |
| 2026-09-28 | 1893 |
| 2026-10-01 | 1894 |
| 2026-10-03 | 1897 |
| 2026-10-04 | 1897 |
| 2026-10-05 | 1898 |
| 2026-10-06 | 1897 |
| 2026-10-08 | 1899 |
| 2026-10-09 | 1901 |
| 2026-10-10 | 1899 |
| 2026-10-11 | 1899 |
| 2026-10-12 | 1900 |
| 2026-10-13 | 1901 |
| 2026-10-14 | 1902 |
| 2026-10-15 | 1904 |
| 2026-10-16 | 1906 |
| 2026-10-17 | 1905 |
| 2026-10-18 | 1906 |
| 2026-10-19 | 1905 |
| 2026-10-20 | 1905 |
| 2026-10-21 | 1906 |
| 2026-10-23 | 1907 |
| 2026-10-24 | 1907 |
| 2026-10-25 | 1907 |
| 2026-10-26 | 1909 |
| 2026-10-27 | 1910 |
| 2026-10-28 | 1910 |
| 2026-10-30 | 1910 |
| 2026-11-04 | 1912 |
Today
+2 stars today
This week
+2 stars this week
This month
+14 stars this month
Momentum
10.0
growth rate 0.10%/day
# 🤖 Awesome Embodied Robotics and Agent [](https://github.com/sindresorhus/awesome)
> This is a curated list of "Embodied robotics or agent with Vision-Language Models (VLMs) and Large Language Models (LLMs)" research which is maintained by [haonan](https://zchoi.github.io/).
<!---
<img src="https://user-images.githubusercontent.com/7837172/44953557-0fb54e80-aec9-11e8-9d38-2388bc70c5c5.png" width=15% align="right" />
--->
Watch this repository for the latest updates and **feel free to raise pull requests if you find some interesting papers**!
## News🔥
[2026/09/10] 🎉 Our survey paper "A Survey on Efficient Vision-Language-Action Models" has been accepted by **IEEE TPAMI**!<br>
[2026/05/11] 🎉 Add **NavSpace: How Intelligent Agents Follow Spatial Intelligence Instructions** (**ICRA 2026**), the first benchmark for evaluating spatial intelligence in embodied navigation, with open-sourced dataset, evaluation code, and baseline **SNav**. [[arXiv]](https://arxiv.org/abs/2510.08173) [[Github]](https://github.com/TidalHarley/NavSpace)<br>
[2025/10/30] 🎉 Our survey paper "**A Survey on Efficient Vision-Language-Action Models**" [[arXiv]](https://arxiv.org/abs/2510.24795) has been released!<br>
[2025/04/23] Add **π-0.5**, a lightweight and modular framework designed to integrate perception, control, and learning directly within physical systems.<br>
[2025/03/18] Add some popular vision-language action (VLA) models. 🦾 <br>
[2024/06/28] Created a new board about agent self-evolutionary research. 🤖 <br>
[2024/06/07] Add **Mobile-Agent-v2**, a mobile device operation assistant with effective navigation via multi-agent collaboration. 🚀 <br>
[2024/05/13] Add "**Learning Interactive Real-World Simulators**"——outstanding paper award in ICLR 2024 🥇.<br>
[2024/04/24] Add "**A Survey on Self-Evolution of Large Language Models**", a systematic survey on self-evolution in LLMs! 💥<br>
[2024/04/16] Add some CVPR 2024 papers. <br>
[2024/04/15] Add **MetaGPT**, accepted for oral presentation (top 1.2%) at ICLR 2024, **ranking #1** in the LLM-based Agent category. 🚀 <br>
[2024/03/13] Add **CRADLE**, an interesting paper exploring LLM-based agent in Red Dead Redemption II！🎮
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## Trend and Imagination of Embodied Robotics and Agent
--->
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## Development of Embodied Robotics and Benchmarks
- [Continuum-AI-Corp/OrcaReplay](https://github.com/Continuum-AI-Corp/OrcaReplay) — record & replay AI coding-agent runs offline.
<table>
<tr>
<td align="center">
[π0-video-1](https://github.com/user-attachments/assets/d0fb7c8f-fd79-40ad-9606-cc60af8a5491)
</td>
<td align="center">
[π0-video-2](https://github.com/user-attachments/assets/569316e8-9dd8-426b-a35c-9fd9a4ba9d89)
</td>
<td align="center">
[π0-video-3](https://github.com/user-attachments/assets/7e83919e-fd90-4544-878e-853ba92ab8f6)
</td>
</tr>
</table>
* Video demo and figure from [1] and [2].
<p align="center">
<img src="trend.png" width="54%">
<img src="Genshin.jpg" width="43%">
<span><b>Figure 1. Trend of Embodied Agent with LLMs.<sup>[1]</sup></b></span>
<span><b>Figure 2. An envisioned Agent society.<sup>[2]</sup></b></span>
</p>
--->
<p align="center">
<img src="assets/overview_eval.png" width="100%">
</p>
Figure 1. **The Organization of Our Survey.** We systematically categorize efficient VLAs into three core pillars: (1) Efficient Model Design, encompassing efficient architectures and model compression techniques, (2) Efficient Training, covering efficient pre-training and post-training strategies, and (3) Efficient Data Collection, including efficient data collection and augmentation methods. The framework also reviExcerpt of 78,531 characters
Read on GitHub
Haonan Zhang · UESTC | UniTn
205
Xiaojian Ma
3
3
2
Kangrui Wang
2
Fangwei Zhong · Beijing Normal University · China
2
1
1
1
Ke Tang
1
1
1
1
Enshen Zhou · Beihang University · China
1
1
Wenqi Zhang · Zhejiang University · China
1
Beihang University · China
1
Zhaowei Wang · HKUST · China
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:942656cea4be4f6a, topic:embodied-ai, name:robotics, desc:embodied ai
matched fp:942656cea4be4f6a, topic:awesome, desc:curated list