机器人 / 具身智能

EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance

Yang Yue, Yulin Wang, Haojun Jiang, Pan Liu, Shiji Song, Gao Huang

专题命中 具身推理 ：world model(title,abstract)；分类 cs.CV

Comments Accepted by CVPR 2025

AI in a vat: Fundamental limits of efficient world modelling for agent sandboxing and interpretability

Fernando Rosas, Alexander Boyd, Manuel Baltieri

专题命中 具身推理 ：world model(title,abstract)；分类 cs.AI

Comments 38 pages, 5 figures

Is Your LLM Secretly a World Model of the Internet? Model-Based Planning for Web Agents

Yu Gu, Kai Zhang, Yuting Ning, Boyuan Zheng, Boyu Gou, Tianci Xue, Cheng Chang, Sanjari Srivastava, Yanan Xie, Peng Qi, Huan Sun, Yu Su

专题命中 具身推理 ：world model(title,abstract)；分类 cs.AI

Comments 22 pages, 11 figures, 6 tables

Open-Vocabulary Semantic Segmentation with Uncertainty Alignment for Robotic Scene Understanding in Indoor Building Environments

Yifan Xu, Vineet Kamat, Carol Menassa

专题命中 具身推理 ：robotic(title)；navigation(abstract)；分类 cs.CV

Comments 32 pages, 7 figures

World Model Agents with Change-Based Intrinsic Motivation

Jeremias Ferrao, Rafael Cunha

专题命中 具身推理 ：world model(title,abstract)；分类 cs.LG

Comments Submitted to Northern Lights Deep Learning Conference 2025

MiLA: Multi-view Intensive-fidelity Long-term Video Generation World Model for Autonomous Driving

Haiguang Wang, Daqi Liu, Hongwei Xie, Haisong Liu, Enhui Ma, Kaicheng Yu, Limin Wang, Bing Wang

专题命中 具身推理 ：world model(title,abstract)；分类 cs.CV

Comments project website: https://github.com/xiaomi-mlab/mila.github.io

FusDreamer: Label-efficient Remote Sensing World Model for Multimodal Data Classification

Jinping Wang, Weiwei Song, Hao Chen, Jinchang Ren, Huimin Zhao

专题命中 具身推理 ：world model(title,abstract)；分类 cs.CV

Inter-environmental world modeling for continuous and compositional dynamics

Kohei Hayashi, Masanori Koyama, Julian Jorge Andrade Guerreiro

专题命中 具身推理 ：world model(title,abstract)；分类 cs.LG

Discrete Codebook World Models for Continuous Control

Aidan Scannell, Mohammadreza Nakhaei, Kalle Kujanpää, Yi Zhao, Kevin Sebastian Luck, Arno Solin, Joni Pajarinen

专题命中 具身推理 ：world model(title,abstract)；分类 cs.LG

Comments 38 pages, 21 figures, published in The Thirteenth International Conference on Learning Representations, ICLR 2025

Enhancing End-to-End Autonomous Driving with Latent World Model

Yingyan Li, Lue Fan, Jiawei He, Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang, Tieniu Tan

专题命中 具身推理 ：world model(title,abstract)；分类 cs.CV

Comments ICLR 2025

Text2World: Benchmarking Large Language Models for Symbolic World Model Generation

Mengkang Hu, Tianxing Chen, Yude Zou, Yuheng Lei, Qiguang Chen, Ming Li, Yao Mu, Hongyuan Zhang, Wenqi Shao, Ping Luo

专题命中 具身推理 ：world model(title,abstract)；分类 cs.AI

Comments Project page: https://text-to-world.github.io/

MaskGWM: A Generalizable Driving World Model with Video Mask Reconstruction

Jingcheng Ni, Yuxin Guo, Yichen Liu, Rui Chen, Lewei Lu, Zehuan Wu

专题命中 具身推理 ：world model(title,abstract)；分类 cs.CV

Semi-Supervised Vision-Centric 3D Occupancy World Model for Autonomous Driving

Xiang Li, Pengfei Li, Yupeng Zheng, Wei Sun, Yan Wang, Yilun Chen

专题命中 具身推理 ：world model(title,abstract)；分类 cs.CV

Comments Accepted by ICLR 2025

GLAM: Global-Local Variation Awareness in Mamba-based World Model

Qian He, Wenqi Liang, Chunhui Hao, Gan Sun, Jiandong Tian

专题命中 具身推理 ：world model(title,abstract)；分类 cs.LG

Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving

Yu Yang, Jianbiao Mei, Yukai Ma, Siliang Du, Wenqing Chen, Yijie Qian, Yuxiang Feng, Yong Liu

专题命中 具身推理 ：world model(title,abstract)；分类 cs.CV

Comments Accepted by AAAI2025

UniZero: Generalized and Efficient Planning with Scalable Latent World Models

Yuan Pu, Yazhe Niu, Zhenjie Yang, Jiyuan Ren, Hongsheng Li, Yu Liu

专题命中 具身推理 ：world model(title,abstract)；分类 cs.LG

Comments 42 pages, 22 figures

Stealthy Backdoor Attack to Real-world Models in Android Apps

Jiali Wei, Ming Fan, Xicheng Zhang, Wenjing Jiao, Haijun Wang, Ting Liu

专题命中 具身推理 ：world model(title,abstract)；分类 cs.AI

DrivingGPT: Unifying Driving World Modeling and Planning with Multi-modal Autoregressive Transformers

Yuntao Chen, Yuqi Wang, Zhaoxiang Zhang

专题命中 具身推理 ：world model(title,abstract)；分类 cs.CV

An Efficient Occupancy World Model via Decoupled Dynamic Flow and Image-assisted Training

Haiming Zhang, Ying Xue, Xu Yan, Jiacheng Zhang, Weichao Qiu, Dongfeng Bai, Bingbing Liu, Shuguang Cui, Zhen Li

专题命中 具身推理 ：world model(title,abstract)；分类 cs.CV

Physical Informed Driving World Model

Zhuoran Yang, Xi Guo, Chenjing Ding, Chiyu Wang, Wei Wu

专题命中 具身推理 ：world model(title,abstract)；分类 cs.CV

Comments project homepage: https://metadrivescape.github.io/papers_project/DrivePhysica/page.html

DriveDreamer4D: World Models Are Effective Data Machines for 4D Driving Scene Representation

Guosheng Zhao, Chaojun Ni, Xiaofeng Wang, Zheng Zhu, Xueyang Zhang, Yida Wang, Guan Huang, Xinze Chen, Boyuan Wang, Youyi Zhang, Wenjun Mei, Xingang Wang

专题命中 具身推理 ：world model(title,abstract)；分类 cs.CV

Comments Project Page: https://drivedreamer4d.github.io

Emergence of Implicit World Models from Mortal Agents

Kazuya Horibe, Naoto Yoshida

专题命中 具身推理 ：world model(title,abstract)；分类 cs.LG

Comments Accepted as a 1-page tiny paper in the Intrinsically Motivated Open-ended Learning workshop at NeurIPS 2024

World Models: The Safety Perspective

Zifan Zeng, Chongzhe Zhang, Feng Liu, Joseph Sifakis, Qunli Zhang, Shiming Liu, Peng Wang

专题命中 具身推理 ：world model(title,abstract)；分类 cs.AI

Comments 8 pages, 3 figures, accepted at the International Workshop on Dependability Modeling and Design (WDMD) during the IEEE International Symposium on Software Reliability Engineering (ISSRE)

Simplifying Latent Dynamics with Softly State-Invariant World Models

Tankred Saanum, Peter Dayan, Eric Schulz

专题命中 具身推理 ：world model(title,abstract)；分类 cs.LG

Generating Code World Models with Large Language Models Guided by Monte Carlo Tree Search

Nicola Dainese, Matteo Merler, Minttu Alakuijala, Pekka Marttinen

专题命中 具身推理 ：world model(title,abstract)；分类 cs.AI

Comments Accepted at NeurIPS 2024, Main Track. 11 pages in main text, 40 pages including references and supplementary materials. 2 figures and 3 tables in the main text, 9 figures and 12 tables when including the supplementary materials. Website at https://sites.google.com/view/code-world-models/home

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

Lancelot Da Costa

专题命中 具身推理 ：world model(title,abstract)；分类 cs.AI

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

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

DOME: Taming Diffusion Model into High-Fidelity Controllable Occupancy World Model

Songen Gu, Wei Yin, Bu Jin, Xiaoyang Guo, Junming Wang, Haodong Li, Qian Zhang, Xiaoxiao Long

专题命中 具身推理 ：world model(title,abstract)；分类 cs.CV

Comments Please visit our project page at https://gusongen.github.io/DOME

WALL-E: World Alignment by Rule Learning Improves World Model-based LLM Agents

Siyu Zhou, Tianyi Zhou, Yijun Yang, Guodong Long, Deheng Ye, Jing Jiang, Chengqi Zhang

专题命中 具身推理 ：world model(title,abstract)；分类 cs.AI

Comments 35 pages, including references and appendix. Code is available at https://github.com/elated-sawyer/WALL-E

Grounded Answers for Multi-agent Decision-making Problem through Generative World Model

Zeyang Liu, Xinrui Yang, Shiguang Sun, Long Qian, Lipeng Wan, Xingyu Chen, Xuguang Lan

专题命中 具身推理 ：world model(title,abstract)；分类 cs.AI

Comments The Thirty-eighth Annual Conference on Neural Information Processing Systems

WorldGPT: Empowering LLM as Multimodal World Model

Zhiqi Ge, Hongzhe Huang, Mingze Zhou, Juncheng Li, Guoming Wang, Siliang Tang, Yueting Zhuang

专题命中 具身推理 ：world model(title,abstract)；分类 cs.AI

Comments update v2