Paper-List

Why we included this project

Robotics researcher Yanjie Ze maintains this as his personal reading list, and it works well as a map of the field for anyone trying to follow robot learning, computer vision, and embodied AI. Instead of a flat pile of links, the papers are grouped by topic, with dedicated sections for humanoid robots, dexterous manipulation, 3D robot learning, and robot foundation models, alongside year-by-year lists of accepted work from venues like RSS, CoRL, CVPR, ICLR, and NeurIPS. A recent-papers section surfaces current work on world-action models, robot foundation models, and behavioral cloning that would otherwise be scattered across arXiv and project pages. For graduate students, research engineers, or teams scouting the state of the art before starting a robotics project, it is a convenient place to see what is being published and where the field is moving.