This repository serves as a meta-curated collection of reading lists and resources for researchers and practitioners in the field of Embodied AI. It aims to streamline the discovery of relevant academic papers, datasets, courses, and tools, saving users time in navigating the vast landscape of robotics and AI research.

How It Works

Instead of listing individual papers, the project aggregates links to existing, curated reading lists and comprehensive resource hubs. This approach provides a hierarchical and organized entry point into specialized sub-fields within Embodied AI, such as robotics manipulation, humanoid learning, and video generation. It also points to essential supporting resources like datasets, job boards, and academic tools.

Quick Start & Requirements

This repository is a curated list of links and does not contain executable code. Therefore, there are no installation or runtime requirements. Users can directly browse the provided links to access external resources.

Highlighted Details

• Comprehensive listings for Embodied AI jobs and related communities.
• Extensive pointers to datasets relevant to robotics and Embodied AI research.
• Curated links to academic courses from institutions like the University of Michigan.
• A selection of tools for academic paper discovery and processing, including Citation2Prompt and connectedpapers.

Maintenance & Community

The project highlights several community channels, including Discord servers for LeRobot and K-scale labs, and mentions HuggingFace. It also points to specific WeChat public accounts and blogs for ongoing information.

Licensing & Compatibility

No licensing information is provided within the README. Users should assume all linked external resources are governed by their respective licenses.

Limitations & Caveats

As a meta-list, the project's utility is dependent on the quality and maintenance of the linked external resources. It does not host content directly, and the accuracy or currency of links relies on the original curators.