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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.
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 |
Today
+4 stars today
This week
— stars this week
This month
— stars this month
Momentum
16.0
growth rate 0.00%/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/).
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<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🔥
[2026/05/11] 🎉 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
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<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 reviews VLA foundations, key applications, challenges, and future directions, establishing the groundwork for advancing scalable embodied intelligence.
## Table of Contents 🍃
- [Survey](#survey)
- [Vision-Language-Action Model](#vision-language-action-model)
Excerpt of 70,313 characters
Read on GitHub
Haonan Zhang · UESTC | UniTn
205
Xiaojian Ma
3
3
2
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