{"total":76,"rows":[{"id":"2403.09631","title":"3D-VLA: A 3D Vision-Language-Action Generative World Model","created":"2024-03-14","cited_by_count":328,"area":"wm"},{"id":"2405.15223","title":"iVideoGPT: Interactive VideoGPTs are Scalable World Models","created":"2024-05-24","cited_by_count":146,"area":"wm"},{"id":"2503.18938","title":"AdaWorld: Learning Adaptable World Models with Latent Actions","created":"2025-03-24","cited_by_count":114,"area":"wm"},{"id":"2505.15659","title":"FLARE: Robot Learning with Implicit World Modeling","created":"2025-05-21","cited_by_count":113,"area":"wm"},{"id":"2601.03782","title":"PointWorld: Scaling 3D World Models for In-The-Wild Robotic Manipulation","created":"2026-01-07","cited_by_count":82,"area":"wm"},{"id":"2511.09515","title":"WMPO: World Model-based Policy Optimization for Vision-Language-Action Models","created":"2025-11-12","cited_by_count":70,"area":"wm"},{"id":"2604.27792","title":"Motubrain: An Advanced World Action Model for Robot Control","created":"2026-04-30","cited_by_count":57,"area":"wm"},{"id":"2606.15768","title":"LaWAM: Latent World Action Models for Efficient Dynamics-Aware Robot Policies","created":"2026-06-14","cited_by_count":52,"area":"wm"},{"id":"2605.12090","title":"World Action Models: The Next Frontier in Embodied AI","created":"2026-05-12","cited_by_count":50,"area":"wm"},{"id":"2605.00080","title":"World Model for Robot Learning: A Comprehensive Survey","created":"2026-04-30","cited_by_count":46,"area":"wm"},{"id":"2510.19430","title":"GigaBrain-0: A World Model-Powered Vision-Language-Action Model","created":"2025-10-22","cited_by_count":44,"area":"wm"},{"id":"2410.12822","title":"AVID: Adapting Video Diffusion Models to World Models","created":"2024-10-01","cited_by_count":37,"area":"wm"},{"id":"2410.22689","title":"Multi-Task Interactive Robot Fleet Learning with Visual World Models","created":"2024-10-30","cited_by_count":36,"area":"wm"},{"id":"2602.22010","title":"World Guidance: World Modeling in Condition Space for Action Generation","created":"2026-02-25","cited_by_count":36,"area":"wm"},{"id":"2603.22078","title":"Do World Action Models Generalize Better than VLAs? A Robustness Study","created":"2026-03-23","cited_by_count":36,"area":"wm"},{"id":"2512.08931","title":"Astra: General Interactive World Model with Autoregressive Denoising","created":"2025-12-09","cited_by_count":33,"area":"wm"},{"id":"2607.00678","title":"ABot-M0.5: Unified Mobility-and-Manipulation World Action Model","created":"2026-07-01","cited_by_count":30,"area":"wm"},{"id":"2603.23376","title":"ABot-PhysWorld: Interactive World Foundation Model for Robotic Manipulation with Physics Alignment","created":"2026-03-24","cited_by_count":29,"area":"wm"},{"id":"2410.15461","title":"EVA: An Embodied World Model for Future Video Anticipation","created":"2024-10-20","cited_by_count":28,"area":"wm"},{"id":"2605.06481","title":"OA-WAM: Object-Addressable World Action Model for Robust Robot Manipulation","created":"2026-05-07","cited_by_count":28,"area":"wm"},{"id":"2511.14659","title":"NORA-1.5: A Vision-Language-Action Model Trained using World Model- and Action-based Preference Rewards","created":"2025-11-18","cited_by_count":26,"area":"wm"},{"id":"2602.12099","title":"GigaBrain-0.5M*: a VLA That Learns From World Model-Based Reinforcement Learning","created":"2026-02-12","cited_by_count":24,"area":"wm"},{"id":"2411.04434","title":"Scaling Laws for Pre-training Agents and World Models","created":"2024-11-07","cited_by_count":23,"area":"wm"},{"id":"2606.08242","title":"Light-WAM: Efficient World Action Models with State-Fusion Action Decoding","created":"2026-06-06","cited_by_count":23,"area":"wm"},{"id":"2603.09030","title":"PlayWorld: Learning Robot World Models from Autonomous Play","created":"2026-03-09","cited_by_count":18,"area":"wm"},{"id":"2407.02466","title":"PWM: Policy Learning with Multi-Task World Models","created":"2024-07-02","cited_by_count":17,"area":"wm"},{"id":"2410.10394","title":"PIVOT-R: Primitive-Driven Waypoint-Aware World Model for Robotic Manipulation","created":"2024-10-14","cited_by_count":17,"area":"wm"},{"id":"2504.13065","title":"EchoWorld: Learning Motion-Aware World Models for Echocardiography Probe Guidance","created":"2025-04-17","cited_by_count":15,"area":"wm"},{"id":"2511.02097","title":"A Step Toward World Models: A Survey on Robotic Manipulation","created":"2025-10-31","cited_by_count":15,"area":"wm"},{"id":"2606.20562","title":"MemoryWAM: Efficient World Action Modeling with Persistent Memory","created":"2026-06-18","cited_by_count":13,"area":"wm"},{"id":"2603.16669","title":"Kinema4D: Kinematic 4D World Modeling for Spatiotemporal Embodied Simulation","created":"2026-03-17","cited_by_count":12,"area":"wm"},{"id":"2603.25685","title":"Persistent Robot World Models: Stabilizing Multi-Step Rollouts via Reinforcement Learning","created":"2026-03-26","cited_by_count":12,"area":"wm"},{"id":"2606.20781","title":"World Action Models: A Survey","created":"2026-06-18","cited_by_count":12,"area":"wm"},{"id":"2606.12217","title":"Making Foresight Actionable: Repurposing Representation Alignment in World Action Models","created":"2026-06-10","cited_by_count":11,"area":"wm"},{"id":"2606.17046","title":"Geometric Action Model for Robot Policy Learning","created":"2026-06-15","cited_by_count":11,"area":"wm"},{"id":"2604.19734","title":"UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling","created":"2026-04-21","cited_by_count":10,"area":"wm"},{"id":"2411.05619","title":"WHALE: Towards Generalizable and Scalable World Models for Embodied Decision-making","created":"2024-11-08","cited_by_count":9,"area":"wm"},{"id":"2605.29360","title":"MiraBench: Evaluating Action-Conditioned Reliability in Robotic World Models","created":"2026-05-28","cited_by_count":9,"area":"wm"},{"id":"2501.14622","title":"ACT-JEPA: Novel Joint-Embedding Predictive Architecture for Efficient Policy Representation Learning","created":"2025-01-24","cited_by_count":8,"area":"wm"},{"id":"2601.18323","title":"TC-IDM: Grounding Video Generation for Executable Zero-shot Robot Motion","created":"2026-01-26","cited_by_count":8,"area":"wm"},{"id":"2605.27589","title":"What-If World: A Causal Benchmark for General World Models in Embodied Scenarios","created":"2026-05-26","cited_by_count":8,"area":"wm"},{"id":"2606.18960","title":"Mem-World: Memory-Augmented Action-Conditioned World Models for Persistent Robot Manipulation","created":"2026-06-17","cited_by_count":8,"area":"wm"},{"id":"2410.02664","title":"Grounded Answers for Multi-agent Decision-making Problem through Generative World Model","created":"2024-10-03","cited_by_count":6,"area":"wm"},{"id":"2510.05865","title":"The Safety Challenge of World Models for Embodied AI Agents: A Review","created":"2025-10-07","cited_by_count":6,"area":"wm"},{"id":"2607.16636","title":"PhyAgentOS: A Self-Evolving Operating System for Embodied Agents with Decoupled Cognitive Planning and Physical Execution","created":"2026-07-18","cited_by_count":6,"area":"wm"},{"id":"2609.16074","title":"World-Action Models for Robot Learning and Control: A Survey","created":"2026-09-13","cited_by_count":6,"area":"wm"},{"id":"2509.25518","title":"World Model for AI Autonomous Navigation in Mechanical Thrombectomy","created":"2025-09-29","cited_by_count":5,"area":"wm"},{"id":"2502.03072","title":"RoboGrasp: A Universal Grasping Policy for Robust Robotic Control","created":"2025-02-05","cited_by_count":4,"area":"wm"},{"id":"2606.27374","title":"World Action Models Enable Continual Imitation Learning with Recurrent Generative Replays","created":"2026-06-25","cited_by_count":4,"area":"wm"},{"id":"2607.11643","title":"Xiaomi-Robotics-U0: Unified Embodied Synthesis with World Foundation Model","created":"2026-07-13","cited_by_count":4,"area":"wm"},{"id":"2608.27033","title":"Riemann-1.0: An Embodied World Action Model for Physical AI","created":"2026-08-27","cited_by_count":4,"area":"wm"},{"id":"2605.25829","title":"OASIS: Observation-Action Space Alignment via SE(3) Trajectory Prediction for Robotic Manipulation","created":"2026-05-25","cited_by_count":3,"area":"wm"},{"id":"2607.14943","title":"Steering Robustness into World Action Models via Mechanistic Interpretability and Optimal Control","created":"2026-07-16","cited_by_count":3,"area":"wm"},{"id":"2512.18396","title":"AOMGen: Photoreal, Physics-Consistent Demonstration Generation for Articulated Object Manipulation","created":"2025-12-20","cited_by_count":2,"area":"wm"},{"id":"2603.12553","title":"Beyond Dense Futures: World Models as Structured Planners for Robotic Manipulation","created":"2026-03-13","cited_by_count":1,"area":"wm"},{"id":"2603.13825","title":"Building Explicit World Model for Zero-Shot Open-World Object Manipulation","created":"2026-03-14","cited_by_count":1,"area":"wm"},{"id":"2605.16412","title":"SCAR: Self-Supervised Continuous Action Representation Learning","created":"2026-05-13","cited_by_count":1,"area":"wm"},{"id":"2606.00439","title":"Physical Object Understanding with a Physically Controllable World Model","created":"2026-05-30","cited_by_count":1,"area":"wm"},{"id":"2607.11689","title":"From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence","created":"2026-07-13","cited_by_count":1,"area":"wm"},{"id":"2608.17209","title":"Teach and Grow: An Agent-Centered Architecture for General Robot Learning","created":"2026-08-17","cited_by_count":1,"area":"wm"},{"id":"2609.17210","title":"FluxVLA Engine: A One-Stop VLA Engineering Platform for Embodied Intelligence","created":"2026-09-15","cited_by_count":1,"area":"wm"},{"id":"2609.17372","title":"XPACE: Joint World and Action Modeling from Heterogeneous Experience","created":"2026-09-15","cited_by_count":1,"area":"wm"},{"id":"2310.18847","title":"Bird's Eye View Based Pretrained World model for Visual Navigation","created":"2023-10-28","cited_by_count":0,"area":"wm"},{"id":"2602.01644","title":"From Perception to Action: Spatial AI Agents and World Models","created":"2026-02-02","cited_by_count":0,"area":"wm"},{"id":"2604.07392","title":"Event-Centric World Modeling with Memory-Augmented Retrieval for Embodied Decision-Making","created":"2026-04-08","cited_by_count":0,"area":"wm"},{"id":"2607.18709","title":"RoboInter1.5: A Holistic Intermediate Representation Suite for Embodied World Modeling and Robotic Manipulation","created":"2026-07-21","cited_by_count":0,"area":"wm"},{"id":"2608.09771","title":"SLIM-0.5B: Learning Action-Grounded Predictive Latents for Robot Manipulation","created":"2026-08-10","cited_by_count":0,"area":"wm"},{"id":"2608.29937","title":"AcrossWAM1.0:A Modular Latent World-Action Stack for Compact Robot Policies","created":"2026-08-30","cited_by_count":0,"area":"wm"},{"id":"2609.03681","title":"WISE: World-model-guided Imagination Scheduling for Efficient Post-training of Vision-Language-Action Models","created":"2026-09-03","cited_by_count":0,"area":"wm"},{"id":"2609.10243","title":"RoboFolDeX: A Physical-World Benchmark for Long-Horizon Robotic Manipulation of Deformable Objects","created":"2026-09-09","cited_by_count":0,"area":"wm"},{"id":"2609.33944","title":"ReSync: Re-Aligning the Two Clocks of Asynchronous World-Action Models","created":"2026-09-27","cited_by_count":0,"area":"wm"},{"id":"2609.37810","title":"Explore, Execute, Evolve: A Skill Acquisition and Reuse Loop for Embodied Agents","created":"2026-09-29","cited_by_count":0,"area":"wm"},{"id":"2610.02508","title":"World Action Modeling with Progressive Visual Planning","created":"2026-10-01","cited_by_count":0,"area":"wm"},{"id":"2610.10270","title":"Video Prediction Policy 2: Predict Better, Act Better","created":"2026-10-07","cited_by_count":0,"area":"wm"},{"id":"2610.10515","title":"RoboJEPA: Scaling Robotic Latent World Models","created":"2026-10-07","cited_by_count":0,"area":"wm"},{"id":"2610.12468","title":"DreamTrue: Action-Faithful Robot World Model with Counterfactual Post-Training","created":"2026-10-08","cited_by_count":0,"area":"wm"}],"next_cursor":null}