HCPLab-SYSU/Embodied_AI_Paper_List
A comprehensive, continuously updated repository of research papers and resources for Embodied AI, accompanying a foundational survey.
Core Features
Detailed Introduction
This GitHub project serves as a dynamic resource repository for Embodied Artificial Intelligence (Embodied AI), complementing a comprehensive survey paper accepted by IEEE/ASME Transactions on Mechatronics. It meticulously curates and categorizes a vast collection of research papers, simulators, datasets, and projects, covering key areas like embodied perception, interaction, and sim-to-real adaptation. Aimed at bridging cyberspace and the physical world, the repository provides a foundational reference for researchers exploring the latest advancements, challenges, and future directions in Embodied AI, particularly in the context of Multi-modal Large Models and World Models.