What is embodied-al?

Embodied-AI is a curated knowledge index and industry map for the field of embodied AI, the study of robots and AI systems that perceive and act in the physical world. The repository is maintained in Chinese and serves as a centralized resource hub for researchers, developers, and job seekers interested in this field. Embodied AI refers to systems where an AI agent has a physical body or simulated body and must interact with an environment in real time, encompassing areas like robotic manipulation, movement, navigation, and combining vision with language to guide actions. This repository organizes information across several sections: recommended books and courses for beginners building foundational knowledge, a curated collection of around 260 research papers covering topics like robotic manipulation, locomotion, simulation, and datasets, a directory of around 81 tools and development platforms, a list of around 274 companies working in this space, split between Chinese and international organizations, and job listings from organizations like Boston Dynamics, Tesla Optimus, Google DeepMind, and others. The project is maintained by a community called Octoday Hub, made up of embodied AI enthusiasts, developers, and industry watchers, and it says it welcomes contributions such as new company information, papers, or corrections. You would use this if you are a Chinese speaking researcher, student, or practitioner looking for a structured starting point in the embodied AI field, or if you want an organized view of the industry's companies, research directions, and job opportunities. It is updated weekly by the community and released under a Creative Commons noncommercial share alike license.