视觉与机器人

世界模型

面向环境建模、时序预测、仿真规划、具身智能和自动驾驶的世界模型方法与应用。

共收录 6483 篇信号源：cs.AI, cs.LG, cs.CV, cs.RO, cs.MA

1. 通用世界模型 4335 篇

2505.13934 2025-10-28 cs.LG cs.AI 94%

RLVR-World: Training World Models with Reinforcement Learning

Jialong Wu, Shaofeng Yin, Ningya Feng, Mingsheng Long

机构 * School of Software, BNRist, Tsinghua University（软件学院，北研所，清华大学）； Zhili College, Tsinghua University（知礼学院，清华大学）

专题命中通用世界模型：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments NeurIPS 2025. Code is available at project website: https://thuml.github.io/RLVR-World/

2506.23434 2025-10-23 cs.CV cs.RO 94%

Towards foundational LiDAR world models with efficient latent flow matching

Tianran Liu, Shengwen Zhao, Nicholas Rhinehart

机构 * University of Toronto（多伦多大学）

专题命中通用世界模型：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments Accepted to the Thirty-Ninth Conference on Neural Information Processing Systems (NeurIPS 2025), 25 pages, 13 figures

2410.07836 2025-10-23 cs.LG cs.AI 94%

Masked Generative Priors Improve World Models Sequence Modelling Capabilities

Cristian Meo, Mircea Lica, Zarif Ikram, Akihiro Nakano, Vedant Shah, Aniket Rajiv Didolkar, Dianbo Liu, Anirudh Goyal, Justin Dauwels

专题命中通用世界模型：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

2509.15536 2025-10-22 cs.CV cs.RO 94%

SAMPO:Scale-wise Autoregression with Motion PrOmpt for generative world models

Sen Wang, Jingyi Tian, Le Wang, Zhimin Liao, Jiayi Li, Huaiyi Dong, Kun Xia, Sanping Zhou, Wei Tang, Hua Gang

机构 * National Key Laboratory of Human-Machine Hybrid Augmented Intelligence（人机混合增强智能国家重点实验室）； National Engineering Research Center for Visual Information and Applications（视觉信息与应用国家工程研究中心）； Institute of Artificial Intelligence and Robotics（人工智能与机器人研究院）； Xi’an Jiaotong University（西安交通大学）； University of Illinois at Chicago（伊利诺伊大学香槟分校）； Amazon.com, Inc（亚马逊公司）

专题命中通用世界模型：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments 22 pages,15 figures

2510.02387 2025-10-13 cs.SE cs.AI cs.LG 94%

CWM: An Open-Weights LLM for Research on Code Generation with World Models

FAIR CodeGen team, Jade Copet, Quentin Carbonneaux, Gal Cohen, Jonas Gehring, Jacob Kahn, Jannik Kossen, Felix Kreuk, Emily McMilin, Michel Meyer, Yuxiang Wei, David Zhang, Kunhao Zheng, Jordi Armengol-Estapé, Pedram Bashiri, Maximilian Beck, Pierre Chambon, Abhishek Charnalia, Chris Cummins, Juliette Decugis, Zacharias V. Fisches, François Fleuret, Fabian Gloeckle, Alex Gu, Michael Hassid, Daniel Haziza, Badr Youbi Idrissi, Christian Keller, Rahul Kindi, Hugh Leather, Gallil Maimon, Aram Markosyan, Francisco Massa, Pierre-Emmanuel Mazaré, Vegard Mella, Naila Murray, Keyur Muzumdar, Peter O'Hearn, Matteo Pagliardini, Dmitrii Pedchenko, Tal Remez, Volker Seeker, Marco Selvi, Oren Sultan, Sida Wang, Luca Wehrstedt, Ori Yoran, Lingming Zhang, Taco Cohen, Yossi Adi, Gabriel Synnaeve

机构 * Meta ； FAIR CodeGen Team（FAIR CodeGen团队）

专题命中通用世界模型：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments 58 pages

2510.07313 2025-10-09 cs.CV cs.RO 94%

WristWorld: Generating Wrist-Views via 4D World Models for Robotic Manipulation

Zezhong Qian, Xiaowei Chi, Yuming Li, Shizun Wang, Zhiyuan Qin, Xiaozhu Ju, Sirui Han, Shanghang Zhang

机构 * State Key Laboratory of Multimedia Information Processing, School of Computer Science, Peking University（信息处理国家重点实验室，计算机学院，北京大学）； Hong Kong University of Science and Technology（香港科技大学）； National University of Singapore（新加坡国家大学）； Beijing Innovation Center of Humanoid Robotics（北京人形机器人创新中心）

专题命中通用世界模型：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

2509.21027 2025-09-26 cs.RO cs.CV 94%

KeyWorld: Key Frame Reasoning Enables Effective and Efficient World Models

Sibo Li, Qianyue Hao, Yu Shang, Yong Li

机构 * Department of Electronic Engineering, BNRist, Tsinghua University（电子工程系、北京理工大学、清华大学）

专题命中通用世界模型：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

2509.20021 2025-09-25 cs.AI cs.CL cs.RO 94%

Embodied AI: From LLMs to World Models

Tongtong Feng, Xin Wang, Yu-Gang Jiang, Wenwu Zhu

机构 * Department of Computer Science and Technology, Tsinghua University（清华大学计算机科学与技术系）； Beijing National Research Center for Information Science and Technology（北京信息科学与技术国家研究中心）； Institute of Trustworthy Embodied AI, Fudan University（复旦大学可信具身人工智能研究院）

专题命中通用世界模型：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments Accepted by IEEE CASM

2501.11260 2025-09-11 cs.RO cs.CV 94%

A Survey of World Models for Autonomous Driving

Tuo Feng, Wenguan Wang, Yi Yang

机构 * Collaborative Innovation Center of Artificial Intelligence (CCAI), Zhejiang University（人工智能协同创新中心（CCAI）、浙江大学）

专题命中通用世界模型：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments Ongoing project. Paper list: https://github.com/FengZicai/AwesomeWMAD Benchmark: https://github.com/FengZicai/WMAD-Benchmarks

2508.09561 2025-08-14 cs.LG 94%

Edge General Intelligence Through World Models and Agentic AI: Fundamentals, Solutions, and Challenges

Changyuan Zhao, Guangyuan Liu, Ruichen Zhang, Yinqiu Liu, Jiacheng Wang, Jiawen Kang, Dusit Niyato, Zan Li, Xuemin, Shen, Zhu Han, Sumei Sun, Chau Yuen, Dong In Kim

机构 * College of Computing and Data Science, Nanyang Technological University（南洋理工大学计算与数据科学学院）； School of Automation, Guangdong University of Technology（广东工业大学自动化学院）； State Key Laboratory of Integrated Services Networks, Xidian University（西安电子科技大学集成服务网络国家重点实验室）； Department of Electrical and Computer Engineering, University of Waterloo（滑铁卢大学电气与计算机工程系）； Department of Computer Science and Engineering, Kyung Hee University（韩国庆熙大学计算机科学与工程系）； Institute for Infocomm Research, Agency for Science, Technology and Research（科技研究局信息通信研究所）； Department of Electrical and Computer Engineering, Sungkyunkwan University（庆熙大学电气与计算机工程系）

专题命中通用世界模型：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments 21 pages. 9 figures

2507.12821 2025-07-23 cs.AI cs.LG 94%

Assessing Adaptive World Models in Machines with Novel Games

Lance Ying, Katherine M. Collins, Prafull Sharma, Cedric Colas, Kaiya Ivy Zhao, Adrian Weller, Zenna Tavares, Phillip Isola, Samuel J. Gershman, Jacob D. Andreas, Thomas L. Griffiths, Francois Chollet, Kelsey R. Allen, Joshua B. Tenenbaum

机构 * MIT（麻省理工学院）； Harvard University（哈佛大学）； University of Cambridge（剑桥大学）； Basis Research Institute（基础研究机构）； Princeton University（普林斯顿大学）； ARC Prize Foundation（ARC奖基金会）； University of British Columbia（不列颠哥伦比亚大学）

专题命中通用世界模型：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments 17 pages, 4 figures

2507.09177 2025-07-15 cs.LG cs.AI stat.ML 94%

Continual Reinforcement Learning by Planning with Online World Models

Zichen Liu, Guoji Fu, Chao Du, Wee Sun Lee, Min Lin

机构 * Sea AI Lab（海智人工智能实验室）； National University of Singapore（新加坡国立大学）

专题命中通用世界模型：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments ICML 2025 Spotlight

2404.16078 2025-07-01 cs.AI cs.LG 94%

Learning World Models With Hierarchical Temporal Abstractions: A Probabilistic Perspective

Vaisakh Shaj

专题命中通用世界模型：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments Doctoral Dissertation, Department of Computer Science, Karlsruhe Institute Of Technology, 2024

2506.21876 2025-06-30 cs.CL cs.AI cs.CV 94%

Do Vision-Language Models Have Internal World Models? Towards an Atomic Evaluation

Qiyue Gao, Xinyu Pi, Kevin Liu, Junrong Chen, Ruolan Yang, Xinqi Huang, Xinyu Fang, Lu Sun, Gautham Kishore, Bo Ai, Stone Tao, Mengyang Liu, Jiaxi Yang, Chao-Jung Lai, Chuanyang Jin, Jiannan Xiang, Benhao Huang, Zeming Chen, David Danks, Hao Su, Tianmin Shu, Ziqiao Ma, Lianhui Qin, Zhiting Hu

机构 * UC San Diego ； JHU Cornell Tech ； EPFL ； UMich

专题命中通用世界模型：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments ACL 2025 (Findings)

2506.13833 2025-06-18 cs.SD cs.AI cs.RO eess.AS physics.app-ph 94%

A Survey on World Models Grounded in Acoustic Physical Information

Xiaoliang Chen, Le Chang, Xin Yu, Yunhe Huang, Xianling Tu

机构 * SoundAI Technology Co., Ltd.（声AI技术有限公司）

专题命中通用世界模型：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments 28 pages,11 equations

2506.02612 2025-06-04 cs.LG cs.AI stat.ML 94%

Simple, Good, Fast: Self-Supervised World Models Free of Baggage

Jan Robine, Marc Höftmann, Stefan Harmeling

机构 * TU Dortmund（图鲁姆大学）； Lamarr Institute for Machine Learning and Artificial Intelligence（拉马尔人工智能与机器学习研究所）

专题命中通用世界模型：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments Published as a conference paper at ICLR 2025. Code is available at https://github.com/jrobine/sgf

2503.02143 2025-06-04 cs.LG cs.RO 94%

Four Principles for Physically Interpretable World Models

Jordan Peper, Zhenjiang Mao, Yuang Geng, Siyuan Pan, Ivan Ruchkin

机构 * University of Florida（佛罗里达大学）

专题命中通用世界模型：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments Equal contribution by the first two authors

2310.08731 2025-05-29 cs.AI cs.LG cs.SY eess.SY 94%

Novelty Detection in Reinforcement Learning with World Models

Geigh Zollicoffer, Kenneth Eaton, Jonathan Balloch, Julia Kim, Wei Zhou, Robert Wright, Mark O. Riedl

专题命中通用世界模型：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments ICML Spotlight 2025

2503.01411 2025-04-28 cs.LG cs.AI cs.SY eess.SY 94%

Learning Actionable World Models for Industrial Process Control

Peng Yan, Ahmed Abdulkadir, Gerrit A. Schatte, Giulia Aguzzi, Joonsu Gha, Nikola Pascher, Matthias Rosenthal, Yunlong Gao, Benjamin F. Grewe, Thilo Stadelmann

专题命中通用世界模型：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments Accepted by SDS 2025

2302.03086 2025-03-24 cs.LG cs.AI 94%

DITTO: Offline Imitation Learning with World Models

Branton DeMoss, Paul Duckworth, Jakob Foerster, Nick Hawes, Ingmar Posner

专题命中通用世界模型：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

2406.10714 2025-03-14 cs.RO cs.LG 94%

Planning with Adaptive World Models for Autonomous Driving

Arun Balajee Vasudevan, Neehar Peri, Jeff Schneider, Deva Ramanan

专题命中通用世界模型：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments This project has been accepted to the International Conference on Robotics and Automation (ICRA) 2025. Project Page: https://arunbalajeev.github.io/world_models_planning/world_model_paper.html

2412.14957 2025-03-11 cs.RO cs.CV 94%

Dream to Manipulate: Compositional World Models Empowering Robot Imitation Learning with Imagination

Leonardo Barcellona, Andrii Zadaianchuk, Davide Allegro, Samuele Papa, Stefano Ghidoni, Efstratios Gavves

专题命中通用世界模型：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

2412.11867 2025-03-07 cs.LG cs.AI 94%

Transformers Use Causal World Models in Maze-Solving Tasks

Alex F. Spies, William Edwards, Michael I. Ivanitskiy, Adrians Skapars, Tilman Räuker, Katsumi Inoue, Alessandra Russo, Murray Shanahan

专题命中通用世界模型：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments Main paper: 9 pages, 9 figures. Supplementary material: 10 pages, 17 additional figures. Code and data will be available upon publication. Corresponding author: A. F. Spies (afspies@imperial.ac.uk)

2501.00195 2025-01-03 cs.LG cs.AI 94%

Towards Unraveling and Improving Generalization in World Models

Qiaoyi Fang, Weiyu Du, Hang Wang, Junshan Zhang

专题命中通用世界模型：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments An earlier version of this paper was submitted to NeurIPS and received ratings of (7, 6, 6). The reviewers' comments and the original draft are available at OpenReview. This version contains minor modifications based on that submission

2410.02742 2024-11-13 cs.CL cs.LG cs.RO 94%

Grounding Large Language Models In Embodied Environment With Imperfect World Models

Haolan Liu, Jishen Zhao

专题命中通用世界模型：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

2411.01342 2024-11-05 cs.LG cs.AI 94%

Adaptive World Models: Learning Behaviors by Latent Imagination Under Non-Stationarity

Emiliyan Gospodinov, Vaisakh Shaj, Philipp Becker, Stefan Geyer, Gerhard Neumann

专题命中通用世界模型：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments Accepted at NeurIPS 2024 Workshop Adaptive Foundation Models

2405.05956 2024-10-29 cs.RO cs.CV 94%

Probing Multimodal LLMs as World Models for Driving

Shiva Sreeram, Tsun-Hsuan Wang, Alaa Maalouf, Guy Rosman, Sertac Karaman, Daniela Rus

专题命中通用世界模型：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments https://github.com/sreeramsa/DriveSim https://www.youtube.com/watch?v=Fs8jgngOJzU

2409.14084 2024-10-28 cs.LG cs.AI 94%

One-shot World Models Using a Transformer Trained on a Synthetic Prior

Fabio Ferreira, Moreno Schlageter, Raghu Rajan, Andre Biedenkapp, Frank Hutter

专题命中通用世界模型：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

2409.18676 2024-10-16 cs.AI cs.MA q-bio.NC 94%

Toward Universal and Interpretable World Models for Open-ended Learning Agents

Lancelot Da Costa

专题命中通用世界模型：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments 4 pages including appendix, 6 including appendix and references; 2 figures

Journal ref NeurIPS 2024 Workshop on Intrinsically Motivated Open-ended Learning (IMOL)

2406.11911 2024-10-10 cs.AI cs.CL cs.LG 94%

A Notion of Complexity for Theory of Mind via Discrete World Models

X. Angelo Huang, Emanuele La Malfa, Samuele Marro, Andrea Asperti, Anthony Cohn, Michael Wooldridge

专题命中通用世界模型：world model(title,abstract)；world models(title,abstract)；world model(title,abstract)；world models(title,abstract)

Comments Accepted EMNLP 2024, Website https://flecart.github.io/complexity-tom-dwm

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