This repository serves as a comprehensive guide for individuals looking to enter the field of Embodied AI. It aims to provide a structured learning path, covering essential concepts, algorithms, hardware, software, and relevant research papers, enabling newcomers to quickly build a solid understanding of the domain.

How It Works

The guide is meticulously organized into logical sections, starting with foundational knowledge and progressing to advanced topics like algorithms (including common tools, foundation models, robot learning, LLMs for robotics, VLA models, computer vision, graphics, multimodal models, and navigation), control theory, robotics, hardware considerations, and software tools like simulators and benchmarks. It emphasizes a structured approach to learning, offering curated resources such as papers, courses, and code repositories.

Quick Start & Requirements

• Installation: No specific installation commands are provided as this is a guide, not a software package.
• Prerequisites: Familiarity with AI, robotics, and programming concepts is beneficial. Access to relevant research papers and online courses is required for in-depth learning.
• Resources: Links to official documentation, demos, and community forums are provided throughout the guide for specific tools and concepts.

Highlighted Details

• Extensive coverage of algorithms, including detailed explanations and links to seminal works in areas like LLM for Robotics, Vision-Language-Action models, and various computer vision techniques.
• Comprehensive sections on control theory and robotics fundamentals, with recommendations for courses and textbooks.
• A detailed overview of hardware components and considerations for embodied AI systems, including embedded systems, mechanical design, sensors, and companies in the field.
• Curated lists of simulators, benchmarks, and datasets crucial for research and development in Embodied AI.
• A broad collection of paper lists and resources for staying updated with the latest advancements.

Maintenance & Community

The project is actively maintained by a community of Embodied AI enthusiasts and researchers, with contributions from individuals affiliated with prominent universities. The project aims to grow into a web-based wiki for the Lumina Embodied AI Community. Contact information for collaboration is provided.

Licensing & Compatibility

This repository is released under the MIT license, allowing for broad use and modification.

Limitations & Caveats

As a guide, this repository does not contain executable code or software to install. Its value lies in the curated information and learning resources it provides. Some linked resources may require specific academic or institutional access.