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Awesome-Embodied-Robotics-and-Agent

calendar_todayAdded Jan 27, 2026
categoryDocs, Tutorials & Resources
codeOpen Source
PythonPyTorch大语言模型Knowledge BaseMultimodalTransformersAI AgentsReinforcement LearningDocs, Tutorials & ResourcesEducation & Research ResourcesModel Training & Inference

A curated list of research on Embodied AI or robots with Large Language Models that tracks the latest developments in this field.

One-Minute Overview#

This is a curated repository of research on Embodied AI or robots with Large Language Models that focuses on combining Vision-Language Models (VLMs) and Large Language Models (LLMs). Maintained by researchers, it is regularly updated with the latest papers and frameworks, making it ideal for researchers, developers, and anyone interested in the field of AI robotics.

Core Value: Provides a centralized showcase of the latest research in embodied AI, helping researchers quickly understand cutting-edge directions and breakthroughs.

Quick Start#

Installation Difficulty: Low - This is a resource list project that requires no installation, can be directly accessed and used.

```bash

Directly access the GitHub repository for the latest content#

https://github.com/zchoi/Awesome-Embodied-Robotics-and-Agent ```

Is this suitable for my needs?

  • ✅ Researchers: Quickly access the latest research and trends in embodied AI
  • ✅ Developers: Find the latest models and frameworks for robot development
  • ✅ Students: Get academic resources and paper references in related fields
  • ❌ Need ready-to-deploy robot systems: This is a resource list, not directly usable software
  • ❌ Need complete tutorials: This mainly provides indexes of research papers and frameworks

Core Capabilities#

1. Curated Research Papers#

  • Organizes the latest research papers in embodied AI by category User Value: Researchers can quickly find high-quality research resources without filtering through大量论文

2. Categorized Organization#

  • Divides research into specialized categories: surveys, vision-language-action models, self-evolving agents, etc. User Value: Helps users quickly locate relevant research based on their interests

3. Latest Updates Tracking#

  • Regularly updates with the latest research findings and frameworks User Value: Ensures users get the most recent developments in the field, avoiding outdated information

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