EtachGu/Awesome-Physical-AI
EtachGu★ 1Last synced: 2026-07-16
—
README excerpt
Awesome Physical AI This repository provides a curated list of academic papers and resources on Physical AI — focusing on Foundation models, Vision-Language-Action (VLA) models, World models, Embodied AI and Resources of Relation Research and Application . Contributions are welcome! Please feel free to submit pull requests or reach out via email to add papers! If you find this repository useful, please consider citing and giving this list a star ⭐. Feel free to share it with others! Table of Contents - Foundations - Vision-Language Backbones - Visual Representations - VLA Architectures - End-to-End VLAs - Modular VLAs - Compact & Efficient VLAs - Action Representation & Policy Decoding - Action Tokenization & Representation Formats - Autoregressive & Discrete Decoding - Discrete Diffusion VLAs - Continuous Diffusion & Flow Matching Policies - World Models - JEPA & Latent Prediction - Generative World Models - Embodied World Models - Reasoning & Planning - Chain-of-Thought & Deliberation - Error Detection & Recovery - Learning Paradigms - Imitation Learning - Reinforcement Learning & Reward Design - Data Curation & Synthesis - Scaling & Generalization - Scaling Laws - Cross-Embodime…
View full README on GitHub →