Show HN: A curated list of academic papers and resources on Physical AI
kwk236 Tuesday, January 20, 2026
I've been compiling papers on Physical AI — the intersection of foundation models and robotics. This 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.
The field has exploded in the past 18 months. We went from "lets try llms on robotics" to having so many dimensions to optimize for. so felt right to maintain a running list of resources.
Organized by: foundations → architectures → action representations → world models → learning paradigms → deployment → applications.
Contributions welcome — especially corrections and missing papers.
Summary
This repository is a curated list of awesome physical AI projects, including robotic systems, embodied agents, and physical machine learning. It covers a wide range of topics such as robotics, materials science, and computational design, providing a comprehensive overview of the current state of physical AI.
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github.com