{"total":42,"rows":[{"id":"2010.03768","title":"ALFWorld: Aligning Text and Embodied Environments for Interactive Learning","created":"2020-10-08","cited_by_count":1205,"area":"wm"},{"id":"1904.01201","title":"Habitat: A Platform for Embodied AI Research","created":"2019-04-02","cited_by_count":1191,"area":"wm"},{"id":"2003.08515","title":"SAPIEN: A SimulAted Part-based Interactive ENvironment","created":"2020-03-19","cited_by_count":595,"area":"wm"},{"id":"2206.08853","title":"MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge","created":"2022-06-17","cited_by_count":478,"area":"wm"},{"id":"2312.09067","title":"Holodeck: Language Guided Generation of 3D Embodied AI Environments","created":"2023-12-14","cited_by_count":268,"area":"wm"},{"id":"2007.04954","title":"ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation","created":"2020-07-09","cited_by_count":250,"area":"wm"},{"id":"2411.14499","title":"Understanding World or Predicting Future? A Comprehensive Survey of World Models","created":"2024-11-21","cited_by_count":166,"area":"wm"},{"id":"2012.02924","title":"iGibson 1.0: a Simulation Environment for Interactive Tasks in Large Realistic Scenes","created":"2020-12-05","cited_by_count":155,"area":"wm"},{"id":"2305.10626","title":"Language Models Meet World Models: Embodied Experiences Enhance Language Models","created":"2023-05-18","cited_by_count":124,"area":"wm"},{"id":"2506.22355","title":"Embodied AI Agents: Modeling the World","created":"2025-06-27","cited_by_count":61,"area":"wm"},{"id":"2507.12508","title":"MindJourney: Test-Time Scaling with World Models for Spatial Reasoning","created":"2025-07-16","cited_by_count":50,"area":"wm"},{"id":"2404.10775","title":"COMBO: Compositional World Models for Embodied Multi-Agent Cooperation","created":"2024-04-16","cited_by_count":49,"area":"wm"},{"id":"2402.06665","title":"The Essential Role of Causality in Foundation World Models for Embodied AI","created":"2024-02-06","cited_by_count":32,"area":"wm"},{"id":"2503.10480","title":"World Modeling Makes a Better Planner: Dual Preference Optimization for Embodied Task Planning","created":"2025-03-13","cited_by_count":26,"area":"wm"},{"id":"2407.11965","title":"UrbanWorld: An Urban World Model for 3D City Generation","created":"2024-07-16","cited_by_count":24,"area":"wm"},{"id":"2407.08725","title":"MetaUrban: An Embodied AI Simulation Platform for Urban Micromobility","created":"2024-07-11","cited_by_count":21,"area":"wm"},{"id":"2303.01586","title":"Alexa Arena: A User-Centric Interactive Platform for Embodied AI","created":"2023-03-02","cited_by_count":18,"area":"wm"},{"id":"2403.17334","title":"OVER-NAV: Elevating Iterative Vision-and-Language Navigation with Open-Vocabulary Detection and StructurEd Representation","created":"2024-03-26","cited_by_count":17,"area":"wm"},{"id":"2404.18243","title":"LEGENT: Open Platform for Embodied Agents","created":"2024-04-28","cited_by_count":12,"area":"wm"},{"id":"2511.19584","title":"Learning Massively Multitask World Models for Continuous Control","created":"2025-11-24","cited_by_count":12,"area":"wm"},{"id":"2304.02639","title":"ENTL: Embodied Navigation Trajectory Learner","created":"2023-04-05","cited_by_count":11,"area":"wm"},{"id":"2410.19923","title":"Language Agents Meet Causality -- Bridging LLMs and Causal World Models","created":"2024-10-25","cited_by_count":9,"area":"wm"},{"id":"2507.09177","title":"Continual Reinforcement Learning by Planning with Online World Models","created":"2025-07-12","cited_by_count":8,"area":"wm"},{"id":"2506.20134","title":"From 2D to 3D Cognition: A Brief Survey of General World Models","created":"2025-06-25","cited_by_count":4,"area":"wm"},{"id":"2201.10335","title":"Tracking and Planning with Spatial World Models","created":"2022-01-25","cited_by_count":3,"area":"wm"},{"id":"2509.22353","title":"Context and Diversity Matter: The Emergence of In-Context Learning in World Models","created":"2025-09-26","cited_by_count":3,"area":"wm"},{"id":"2510.04978","title":"Aligning Perception, Reasoning, Modeling and Interaction: A Survey on Physical AI","created":"2025-10-06","cited_by_count":3,"area":"wm"},{"id":"2602.01630","title":"Research on World Models Is Not Merely Injecting World Knowledge into Specific Tasks","created":"2026-02-02","cited_by_count":3,"area":"wm"},{"id":"2604.04707","title":"OpenWorldLib: A Unified Codebase and Definition of Advanced World Models","created":"2026-04-06","cited_by_count":3,"area":"wm"},{"id":"2605.17451","title":"DeTrack: A Benchmark and Altitude-Aware Dual World Model for Drone-embodied Tracking","created":"2026-05-17","cited_by_count":2,"area":"wm"},{"id":"2606.26694","title":"PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models","created":"2026-06-25","cited_by_count":2,"area":"wm"},{"id":"2607.28226","title":"Security of World-Model-Based Embodied AI: A Lifecycle of Threats, Defenses, and Evaluation","created":"2026-07-30","cited_by_count":2,"area":"wm"},{"id":"2603.25415","title":"Modernising Reinforcement Learning-Based Navigation for Embodied Semantic Scene Graph Generation","created":"2026-03-26","cited_by_count":1,"area":"wm"},{"id":"2605.03782","title":"What You Think is What You See: Driving Exploration in VLM Agents via Visual-Linguistic Curiosity","created":"2026-05-05","cited_by_count":1,"area":"wm"},{"id":"2605.11367","title":"3D-Belief: Embodied Belief Inference via Generative 3D World Modeling","created":"2026-05-12","cited_by_count":1,"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":"2606.00090","title":"Silent Failures in Physical AI: A Literature Review of Runtime Action Authorization for Autonomous Systems","created":"2026-05-23","cited_by_count":0,"area":"wm"},{"id":"2606.14574","title":"SIMMER: Benchmarking Latent Failures in LLM Executable Planning with a World Model","created":"2026-06-12","cited_by_count":0,"area":"wm"},{"id":"2609.34058","title":"Do World Models Learn Global Understanding?","created":"2026-09-28","cited_by_count":0,"area":"wm"},{"id":"2609.34677","title":"Learning What to Recall: Adaptive Multi-Cue Episodic Memory for World Models","created":"2026-09-28","cited_by_count":0,"area":"wm"},{"id":"2609.35052","title":"OPIS: An Input-Grounded Benchmark for Multi-Object Memory in Video World Models","created":"2026-09-28","cited_by_count":0,"area":"wm"},{"id":"2609.39101","title":"Beyond Prediction: Steering VLM Agents with Retrospective World Modeling","created":"2026-09-30","cited_by_count":0,"area":"wm"}],"next_cursor":null}