Awesome World Models for Robotics

# Awesome World Models for Robotics [![Awesome](https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg)](https://github.com/sindresorhus/awesome)

This repository provides a curated list of **papers for World Models for General Video Generation, Embodied AI, and Autonomous Driving**. Template from [Awesome-LLM-Robotics](https://github.com/GT-RIPL/Awesome-LLM-Robotics) and [Awesome-World-Model](https://github.com/LMD0311/Awesome-World-Model)<br>

#### Contributions are welcome! Please feel free to submit [pull requests](https://github.com/leofan90/Awesome-World-Models/blob/main/how-to-PR.md) or reach out via [email](mailto:chunkaifan-changetoat-stu-changetodot-pku--changetodot-changetoedu-changetocn) to add papers! <br>

If you find this repository useful, please consider [citing](#citation) and giving this list a star ⭐. Feel free to share it with others!

---
## Overview

- [Awesome World Models for Robotics ](#awesome-world-models-for-robotics-)
      - [Contributions are welcome! Please feel free to submit pull requests or reach out via email to add papers! ](#contributions-are-welcome-please-feel-free-to-submit-pull-requests-or-reach-out-via-email-to-add-papers-)
  - [Overview](#overview)
  - [Foundation paper of World Model](#foundation-paper-of-world-model)
  - [Blog or Technical Report](#blog-or-technical-report)
  - [Surveys](#surveys)
  - [Benchmarks \& Evaluation](#benchmarks--evaluation)
  - [General World Models](#general-world-models)
  - [World Models for Embodied AI](#world-models-for-embodied-ai)
  - [World Models for VLA](#world-models-for-vla)
  - [World Models for Visual Understanding](#world-models-for-visual-understanding)
  - [World Models for Autonomous Driving](#world-models-for-autonomous-driving)
    - [Refer to https://github.com/LMD0311/Awesome-World-Model](#refer-to-httpsgithubcomlmd0311awesome-world-model)
  - [Citation](#citation)

---
## Foundation paper of World Model
* World Models, **`NIPS 2018 Oral`**. [[Paper](https://arxiv.org/abs/1803.10122)] [[Website](https://worldmodels.github.io/)] 

## Blog or Technical Report
* **`lingbot-world`**, Advancing Open-source World Models. [[Paper](https://arxiv.org/abs/2601.20540)] [[Website](https://technology.robbyant.com/lingbot-world)] [[Code](https://github.com/robbyant/lingbot-world)]
* **`TARS`**, World In Your Hands: A Large-Scale and Open-source Ecosystem for Learning Human-centric Manipulation in the Wild. [[Paper](https://arxiv.org/abs/2512.24310)] [[Website](https://wiyh.tars-ai.com/)] 
* **`SIMA 2`**, SIMA 2: A Generalist Embodied Agent for Virtual Worlds. [[Paper](https://arxiv.org/abs/2512.04797)]
* **`SimWorld`**, SimWorld: An Open-ended Realistic Simulator for Autonomous Agents in Physical and Social Worlds. [[Paper](https://arxiv.org/abs/2512.01078)] [[Website](https://simworld.org/)] 
* **`Hunyuan-GameCraft-2`**, Hunyuan-GameCraft-2: Instruction-following Interactive Game World Model. [[Paper](https://arxiv.org/abs/2511.23429)] [[Website](https://hunyuan-gamecraft-2.github.io/)] 
* **`GigaWorld-0`**, GigaWorld-0: World Models as Data Engine to Empower Embodied AI. [[Paper](https://arxiv.org/abs/2511.19861)] [[Website](https://gigaworld0.github.io/)] 
* **`PAN`**, PAN: A World Model for General, Interactable, and Long-Horizon World Simulation. [[Paper](https://arxiv.org/abs/2511.09057)] 
* **`Cosmos-Predict2.5`**, World Simulation with Video Foundation Models for Physical AI. [[Paper](https://arxiv.org/abs/2511.00062)] [[Code](https://github.com/nvidia-cosmos/cosmos-predict2.5)]
* **`Emu3.5`**, Emu3.5: Native Multimodal Models are World Learners. [[Paper](https://arxiv.org/abs/2510.26583)] [[Website](https://emu.world)] [[Code](https://github.com/baaivision/Emu3.5)]
* **`ODesign`**, ODesign: A World Model for Biomolecular Interaction Design. [[Paper](https://arxiv.org/pdf/2510.22304)] [[Website](https://odesign.lglab.ac.cn)]
* **`GigaBrain-0`**, GigaBrain-0: A World Model-Powered Vision-Language-Action Model. [[Paper](https://arxiv.org/abs/2510.19430)] [[Website](https://gigabrain0.github.io/)]
* **`CWM`**, CWM: An Open-Weights LLM for Research on Code Generation with World Models. [[Paper](https://arxiv.org/abs/2510.02387)] [[Website](https://ai.meta.com/resources/models-and-libraries/cwm-downloads)] [[Code](https://github.com/facebookresearch/cwm)]
* **`WoW`**, WoW: Towards a World omniscient World model Through Embodied Interaction. [[Paper](https://arxiv.org/abs/2509.22642)] [[Website](https://wow-world-model.github.io/)]
* **`Matrix-Game 2.0`**, Matrix-Game 2.0: An Open-Source, Real-Time, and Streaming Interactive World Model. [[Paper](https://arxiv.org/abs/2508.13009)] [[Website](https://matrix-game-v2.github.io/)]
* **`Matrix-3D`**, Matrix-3D: Omnidirectional Explorable 3D World Generation. [[Paper](https://arxiv.org/abs/2508.08086)] [[Website](https://matrix-3d.github.io)]
* **`HunyuanWorld 1.0`**, HunyuanWorld 1.0: Ge

... (truncated)