Daydreamer

Prompt a Robot to Walk with Large Language Models

Wang, Y., Zhang, B., Chen, J., & Sreenath, K. (2024) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc56724.2024.10885862 · Cited by 50 · see citing works

CaT: Constraints as Terminations for Legged Locomotion Reinforcement Learning

Chane-Sane, E., Léziart, P., Flayols, T., Stasse, O., Souères, P., & Mansard, N. (2024) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros58592.2024.10802334 · Cited by 24 · see citing works

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

Wang, J., Song, W., Chen, H., Ren, J., & Zhao, H. (2025) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2025.3554862 · Cited by 22 · see citing works

Model-Based Runtime Monitoring with Interactive Imitation Learning

Liu, H., Dass, S., Martín-Martín, R., & Zhu, Y. (2024) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra57147.2024.10611038 · Cited by 14 · see citing works

Embodied AI: From LLMs to World Models [Feature]

Feng, T., Wang, X., Jiang, Y., & Zhu, W. (2025) · IEEE Circuits and Systems Magazine · doi:10.1109/mcas.2025.3603693 · Cited by 37 · see citing works

Grow Your Limits: Continuous Improvement with Real-World RL for Robotic Locomotion

Smith, L., Cao, Y.-H., & Levine, S. (2024) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra57147.2024.10610485 · Cited by 13 · see citing works

MAGIC VFM -Meta-Learning Adaptation for Ground Interaction Control With Visual Foundation Models

Lupu, E. S., Xie, F., Preiss, J. A., Alindogan, J., Anderson, M., & Chung, S. (2024) · IEEE Transactions on Robotics · doi:10.1109/tro.2024.3475212 · Cited by 12 · see citing works

World Model-Based Perception for Visual Legged Locomotion

Lai, H., Cao, J., Xu, J., Wu, H., Lin, Y., Kong, T., Yu, Y. H., & Zhang, W. (2025) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra55743.2025.11128762 · Cited by 13 · see citing works

Medical World Model

Yang, Y., Wang, Z.-Y., Liu, Q., Sun, S., Wang, K., Chellappa, R., Zhou, Z., Yuille, A., Zhu, L., Zhang, Y.-D., et al. (2025) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51701.2025.00779 · Cited by 9 · see citing works

ReCoRe: Regularized Contrastive Representation Learning of World Model

Poudel, R. P. K., Pandya, H., Liwicki, S., & Cipolla, R. (2024) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52733.2024.02161 · Cited by 9 · see citing works

MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation

Lancaster, P., Hansen, N., Rajeswaran, A., & Kumar, V. (2024) · 2024 IEEE International Conference on Robotics and Automation (ICRA) · doi:10.1109/icra57147.2024.10611121 · Cited by 8 · see citing works

Anticipatory Control on Human-Following Robots Using Online Deep-Model Predictive Control

Gui, S., & Luximon, Y. (2024) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2024.3419209 · Cited by 7 · see citing works

GWM: Towards Scalable Gaussian World Models for Robotic Manipulation

Lu, G., Jia, B., Li, P., Chen, Y., Wang, Z., Tang, Y., & Huang, S. (2025) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51701.2025.00865 · Cited by 7 · see citing works

TWIST: Teacher-Student World Model Distillation for Efficient Sim-to-Real Transfer

Yamada, J., Rigter, M. P., Collins, J., & Posner, I. (2024) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra57147.2024.10610450 · Cited by 7 · see citing works

PartRM: Modeling Part-Level Dynamics with Large Cross-State Reconstruction Model

Gao, M., Pan, Y. M., Gao, H.-A., Zhang, Z., Li, W., Dong, H., Tang, H., Yi, L., & Zhao, H. F. (2025) · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · doi:10.1109/cvpr52734.2025.00657 · Cited by 6 · see citing works

ManiGaussian++: General Robotic Bimanual Manipulation with Hierarchical Gaussian World Model

Yu, T., Lu, G., Yang, Z., Deng, H., Chen, S. S., Lu, J., Ding, W., Hu, G., Tang, Y., & Wang, Z. (2025) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros60139.2025.11246564 · Cited by 6 · see citing works

IRASim: A Fine-Grained World Model for Robot Manipulation

Zhu, F., Wu, H., Guo, S., Liu, Y., Cheang, C., & Kong, T. (2025) · IEEE/CVF International Conference on Computer Vision (ICCV) · doi:10.1109/iccv51701.2025.00917 · Cited by 6 · see citing works

Learning Continuous Control with Geometric Regularity from Robot Intrinsic Symmetry

Yan, S., Zhang, B., Zhang, Y., Boedecker, J., & Burgard, W. (2024) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra57147.2024.10610949 · Cited by 6 · see citing works

IRASim: A Fine-Grained World Model for Robot Manipulation

Zhu, F., Wu, H., Guo, S., Liu, Y., Cheang, C., & Kong, T. (2024) · arXiv · doi:10.48550/arxiv.2406.14540 · Cited by 6 · see citing works

DexSim2Real$^{\mathbf{2}}$: Building Explicit World Model for Precise Articulated Object Dexterous Manipulation

Jiang, T., Guan, Y., Ma, L., Xu, J. L., Meng, J., Chen, W., Zeng, Z., Li, L., Wu, D., & Chen, R. (2025) · IEEE Transactions on Robotics · doi:10.1109/tro.2025.3584504 · Cited by 5 · see citing works

Critic as Lyapunov function (CALF): a model-free, stability-ensuring agent

Osinenko, P., Yaremenko, G., Zashchitin, R., Bolychev, A., Ibrahim, S., & Dobriborsci, D. (2024) · IEEE Conference on Decision and Control (CDC) · doi:10.1109/cdc56724.2024.10886034 · Cited by 4 · see citing works

Human-in-the-Loop Reinforcement Learning to Track Excavation Paths for a Hydraulic Excavator in a Short Period of Time

Mori, T., Yoshimoto, T., & Yoshida, H. (2025) · IEEE Access · doi:10.1109/access.2025.3585182 · Cited by 4 · see citing works

Sample-Efficient Learning to Solve a Real-World Labyrinth Game Using Data-Augmented Model-Based Reinforcement Learning

Bi, T., & Raffaello D’andrea, B. (2024) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra57147.2024.10610577 · Cited by 3 · see citing works

Traversability-Aware Legged Navigation by Learning From Real-World Visual Data

Zhang, H., Li, Z., Zeng, X., Smith, L., Stachowicz, K., Shah, D., Yue, L., Song, Z., Xia, W., Levine, S., et al. (2025) · IEEE Transactions on Robotics · doi:10.1109/tro.2025.3645885 · Cited by 5 · see citing works

Priority-Based Reward Mechanism for Dual-Robot Path Planning in Dynamic Environments

Hu, Y., Wei, L., Guo, X., Li, Z., Wei, Y., & Fang, Q. (2025) · IEEE Access · doi:10.1109/access.2025.3571931 · Cited by 2 · see citing works

Multi-Robot Collaboration Through Reinforcement Learning and Abstract Simulation

Labiosa, A., & Hanna, J. P. (2025) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra55743.2025.11127323 · Cited by 2 · see citing works

Distributed Sparse Bayesian Control Barrier Function and Its Application to Safe Persistent Exploration

Mizuta, K., Yamauchi, J., & Fujita, M. (2025) · IEEE Transactions on Control of Network Systems · doi:10.1109/tcns.2025.3608070 · Cited by 2 · see citing works

LoopSR: Looping Sim-and-Real for Lifelong Policy Adaptation of Legged Robots

Wu, P., Xie, W., Cao, J., Lai, H., & Zhang, W. (2025) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros60139.2025.11246873 · Cited by 2 · see citing works

Real-Time Reinforcement Learning for Dynamic Tasks with a Parallel Soft Robot

Avtges, J., Ketchum, J., Schlafly, M., Young, H., Kim, T., Pinosky, A., Truby, R. L., & Murphey, T. D. (2025) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros60139.2025.11246440 · Cited by 2 · see citing works

Achieving Precise and Reliable Locomotion with Differentiable Simulation-Based System Identification

Kovalev, V., Chaikovskaia, E., Davydenko, E., & Gorbachev, R. (2025) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros60139.2025.11247646 · Cited by 2 · see citing works

Real-World Robot Control Based on Contrastive Deep Active Inference With Demonstrations

Fujii, K., Isomura, T., & Murata, S. (2024) · IEEE Access · doi:10.1109/access.2024.3477306 · Cited by 2 · see citing works

MANIP: A Modular Architecture for Integrating Interactive Perception for Robot Manipulation

Yu, J., Sadjadpour, T., O'Neill, A., Khfifi, M., Chen, L. Y., Cheng, R., Irshad, M. Z., Balakrishna, A., Kollar, T., & Goldberg, K. Y. (2024) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros58592.2024.10801746 · Cited by 2 · see citing works

A Contact Model based on Denoising Diffusion to Learn Variable Impedance Control for Contact-rich Manipulation

Okada, M., Komatsu, M., & Taniguchi, T. (2024) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros58592.2024.10801976 · Cited by 2 · see citing works

Surfer: A World Model-Based Framework for Vision-Language Robot Manipulation

Ren, P., Zhang, K., Zheng, H., Li, Z., Wen, Y., Zhu, F., Ma, S., & Liang, X. (2025) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2025.3594117 · Cited by 1 · see citing works

Perspective-Shifted Neuro-Symbolic World Models: A Framework for Socially-Aware Robot Navigation

Alcedo, K., Lima, P. U., & Alami, R. (2025) · IEEE RO-MAN · doi:10.1109/ro-man63969.2025.11217577 · Cited by 1 · see citing works

Exploring Scientific Principles and Laws of Artificial Intelligence, World Model, and Artificial General Intelligence (AGI) in Future Intelligence Networking: Paradigms, Architectures, and Innovations

Zhang, D., Shi, W. K., & Jia, X. (2026) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2026.3672428 · Cited by 2 · see citing works

Helical Control in Latent Space: Enhancing Robotic Craniotomy Precision in Uncertain Environments

Jia, Y., Qu, J. Z., & Taniguchi, T. (2024) · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · doi:10.1109/icra57147.2024.10611473 · Cited by 1 · see citing works

APriCoT: Action Primitives based on Contact-state Transition for In-Hand Tool Manipulation

Saito, D., Kanehira, A., Sasabuchi, K., Wake, N., Takamatsu, J., Koike, H., & Ikeuchi, K. (2024) · IEEE-RAS International Conference on Humanoid Robots (Humanoids) · doi:10.1109/humanoids58906.2024.10769968 · Cited by 1 · see citing works

Bridging the Sim-to-Real Gap with Bayesian Inference

Rothfuss, J., Sukhija, B., Treven, L., Dörfler, F., Coros, S., & Krause, A. (2024) · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · doi:10.1109/iros58592.2024.10801505 · Cited by 1 · see citing works

Learning Interpretable Policies in Hindsight-Observable POMDPs Through Partially Supervised Reinforcement Learning

Lanier, M., Xu, Y., Jacobs, N., Zhang, C., & Vorobeychik, Y. (2024) · International Conference on Machine Learning and Applications · doi:10.1109/icmla61862.2024.00048 · Cited by 1 · see citing works

Iterative Shaping of Multi-Particle Aggregates Based on Action Trees and VLM

Lee, H.-Y., Zhou, P., Duan, A., Yang, C., & Navarro-Alarcón, D. (2025) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2025.3572426 · Cited by 1 · see citing works

Speed tracking and natural gait control with the aid of adversarial prior data for legged robots

Mo, Y., Ma, B., Li, X., Xu, N., Liu, X., Xue, Y., & Qi, C. (2025) · IEEE Data Driven Control and Learning Systems Conference (DDCLS) · doi:10.1109/ddcls66240.2025.11065020 · Cited by 1 · see citing works

From Pixels to CSI: Distilling Latent Dynamics For Efficient Wireless Resource Management

Chaaya, C. B., Girgis, A. M., & Bennis, M. (2025) · IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) · doi:10.1109/pimrc62392.2025.11275597 · Cited by 1 · see citing works

Mitigating the Trade-Off Between Robustness, Optimality and Sample Efficiency in Simulated Legged Locomotion

Patil, P., Agrawal, R., Thomas, S., Thejaswi, A., & Chandar, T. S. (2024) · International Conference on Robotics and Automation Sciences (ICRAS) · doi:10.1109/icras62427.2024.10654466

Learning to Grasp through World Models with Backward Prediction

Wang, S., Yuan, Y., Mei, Y., Sun, J. Z., & Wang, G. (2024) · Chinese Control Conference (CCC) · doi:10.23919/ccc63176.2024.10661609

World Models and Data Governance: Revolutionizing Data Management Through Artificial Intelligence

Wang, D. G. L., Meng, J., & Zhu, L. (2024) · International Conference on Artificial Intelligence of Things and Systems (AIoTSys) · doi:10.1109/aiotsys63104.2024.10780742

Learning actionable world models for industrial process control

Yan, P., Abdulkadir, A., Schatte, G. A., Aguzzi, G., Gha, J., Pascher, N., Rosenthal, M., Gao, Y., Grewe, B. F., & Stadelmann, T. (2025) · Zürcher Hochschule für Angewandte Wissenschaften digital collection (Zurich University of Applied Sciences) · doi:10.21256/zhaw-33031

Koopman-Driven Linearized Model-Based Offline Planning With Application to Freeway Ramp Metering

Zhou, T., Gu, C., Lim, C. P., & Yuan, J. (2025) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2025.3605015

Action-Inclusive Multi-Future Prediction Using a Generative Model in Human-Related Scenes for Mobile Robots

Xu, C., Ahmad, H., Okadome, Y., Ishiguro, H., & Nakamura, Y. (2025) · IEEE Access · doi:10.1109/access.2025.3611812

Variational Adaptive Noise and Dropout towards Stable Recurrent Neural Networks

Kobayashi, T., & Murata, S. (2025) · IEEE International Conference on Development and Learning (ICDL) · doi:10.1109/icdl63968.2025.11204433

MonoMPC: Monocular Vision Based Navigation With Learned Collision Model and Risk-Aware Model Predictive Control

Sharma, B., Jadhav, P., Paul, P., Krishna, K. M., & Singh, A. K. (2025) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2025.3641112

Dependable Embodied Intelligence: Toward Trustworthy Integration of Large Language Models and World Models

Zhou, J., Zhang, H., Feng, T., & Xia, X. (2025) · International Conference on Dependable Systems and Their Applications (DSA) · doi:10.1109/dsa66321.2025.00071

EgoGen: Egocentric Interaction Video Generation with 3D Hand Structure Constraints

Liu, C., Zhai, W., Luo, H., Cao, Y., & Zha, Z. (2026) · IEEE International Conference on Acoustics Speech and Signal Processing · doi:10.1109/icassp55912.2026.11461342

TREND: Task-Oriented World Models for Visual Robotic Manipulation

Zheng, Y., Lu, T., & Cai, Y. (2026) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2026.3688085

Unsupervised Implicit Parameter Estimation of Sensor-Limited Musculoskeletal Robots Using Time-Differentiable Neural Networks

Xu, H., Fan, J., Ma, H., & Wang, Q. (2026) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2026.3687254

Spacewalk-18: A Benchmark for Multimodal and Long-form Procedural Video Understanding in Novel Domains

Tang, Z., Krishnan, R. M., Yu, Z., & Sun, C. (2026) · IEEE Winter Conference on Applications of Computer Vision · doi:10.1109/wacv61042.2026.00435

End-to-End Learning of Soft-Robot Dynamics from Event-Based Camera Streams

Zhang, C., Liu, J., Shahabi, E., Pan, W., & Santina, C. D. (2026) · IEEE International Conference on Soft Robotics (RoboSoft) · doi:10.1109/robosoft67810.2026.11522882

Human-Guided Online Reward Adaptation for Real-Robot Arm Manipulation

Zhou, T., Ao, H., Lu, H., Chen, G. J., Zhou, Z., Cui, T., Yu, C., & Yue, Y. (2026) · IEEE Robotics and Automation Letters · doi:10.1109/lra.2026.3699150

Proprioception-Only Hexapod Locomotion on Unstructured Terrain via Multi-Step and Privileged-Enhanced World Models

Yang, Z., Xu, Z., & Ren, Q. (2026) · Chinese Control and Decision Conference (CCDC) · doi:10.1109/ccdc69976.2026.11560188

Uncertainty Triggered Re-ranking to Counter Uncertainty Induced Conservatism in High Speed World Model Based Trajectory Selection

Jang, J., Lee, J., & Kim, S. (2026) · IEEE Intelligent Vehicles Symposium Workshops (IV Workshops) · doi:10.1109/ivworkshops71735.2026.11624054

Robotic Throwing Based on Deep Reinforcement Learning and Model Prediction

龙家桂, Wang, C., & Liu, H. (2026) · Youth Academic Annual Conference of Chinese Association of Automation (YAC) · doi:10.1109/yac71005.2026.11616244

DINO-Explorer: Active Underwater Discovery via Ego-Motion Compensated Semantic Predictive Coding

Jin, Y., Lessa, N. M., Álvarez, M. D. L., Laux, M., Barbosa, L. A., Kirchner, F., & Adam, R. (2026) · MTS/IEEE OCEANS Conference (OCEANS) · doi:10.1109/oceans66983.2026.11617131

Toward a Causally-Inspired Evolving World Model for Vision-and-Language Navigation in Continuous Environments

Yao, X., Gao, J., & Xu, C. (2026) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.2026.3728426

Hybrid Gait Motion Control of Biped-Wheel Robots

Li, Z. (2026) · International Conference on Computer Information Science and Application Technology (CISAT) · doi:10.1109/cisat71030.2026.11682505

Surgical Procedural Planning as 3D World Modelling: Towards Automated Pulmonary Resection

Zhang, Z., Dong, Z., Yang, X., Huang, L., Wu, Q., Zeng, T., Zheng, H., Yang, M., Zheng, S., Ding, W., et al. (2026) · doi:10.1109/cvprf71909.2026.00511

Generative Model-based Exploration for Sample-Efficient Reinforcement Learning

Cai, X., Wang, S., & Guan, Q. (2026) · International Joint Conference on Neural Networks (IJCNN) · doi:10.1109/ijcnn69854.2026.11728866

Daydreams.

Klinger, E. (2000) · American Psychological Association eBooks · doi:10.1037/10517-160 · Cited by 2 · see citing works

Dreams

(2020) · American Psychological Association eBooks · doi:10.2307/j.ctv1chs19d.8

Daydreaming

(2013) · Springer eBooks · doi:10.1007/978-1-4614-3858-8_100221

Daydream

Oh-Hyun, C. (2016) · Columbia University Press eBooks · doi:10.7312/cho-17990-003

Chapter 10. Dreams

(2004) · American Psychiatric Association Publishing eBooks · doi:10.1176/appi.books.9781615377442.lg10