The latest articles on DEV Community by Keon Woo Kim (@keonwoo_kim_03dfc0e32f55). https://dev.to/keonwoo_kim_03dfc0e32f55 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F1462139%2F560ad924-1370-448c-94bd-1bdd2f9d320e.png https://dev.to/keonwoo_kim_03dfc0e32f55 en Keon Woo Kim Thu, 15 Jan 2026 20:51:38 +0000 https://dev.to/keonwoo_kim_03dfc0e32f55/curated-papers-on-physical-ai-vlas-world-models-robot-foundation-models-4m3n https://dev.to/keonwoo_kim_03dfc0e32f55/curated-papers-on-physical-ai-vlas-world-models-robot-foundation-models-4m3n <p><a href="https://github.com/keon/awesome-physical-ai" rel="noopener noreferrer">https://github.com/keon/awesome-physical-ai</a></p> <p>Made a list tracking the Physical AI space — foundation models that control robots.</p> <p>Covers Vision-Language-Action (VLA) models like RT-2 and π₀, world models (DreamerV3, Genie 2, JEPA), diffusion policies, real-world deployment and latency problems, cross-embodiment transfer, scaling laws, and safety/alignment for robots.</p> <p>Organized by architecture → action representation → learning paradigm → deployment.</p> <p>GitHub in comments. Star if useful, PRs welcome.</p> ai robotics vla agents