Embodied AI Agents: Modeling the World
On the map: World models → World models for navigation
Abstract (arXiv)
This paper describes our research on AI agents embodied in visual, virtual or physical forms, enabling them to interact with both users and their environments. These agents, which include virtual avatars, wearable devices, and robots, are designed to perceive, learn and act within their surroundings, which makes them more similar to how humans learn and interact with the environments as compared to disembodied agents. We propose that the development of world models is central to reasoning and planning of embodied AI agents, allowing these agents to understand and predict their environment, to understand user intentions and social contexts, thereby enhancing their ability to perform complex tasks autonomously. World modeling encompasses the integration of multimodal perception, planning through reasoning for action and control, and memory to create a comprehensive understanding of the physical world. Beyond the physical world, we also propose to learn the mental world model of users to enable better human-agent collaboration.
Key facts. Cited by 61 papers in the map (data through 14 Oct 2026). Placed in World models for navigation, one of 11 directions in World models. Builds on 92 of its 133 references that are in the map. First posted on arXiv 27 Jun 2025.
Builds on
92 of 133 references.
References · 92
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50 most cited of 92 All 92 (JSON)
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Citing papers per year: 2025: 20; 2026: 41.
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- 2026Controllable Egocentric Video Generation via Occlusion-Aware Sparse 3D Hand Joints12 Mar 2026
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- 2026Wow, wo, val! A Comprehensive Embodied World Model Evaluation Turing Test7 Jan 2026
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- 2026GraphThinker: Reinforcing Temporally Grounded Video Reasoning with Event Graph Thinking19 Feb 2026
- 2026VisPhyWorld: Probing Physical Reasoning via Code-Driven Video Reconstruction9 Feb 2026
- 2026From Assumptions to Actions: Turning LLM Reasoning into Uncertainty-Aware Planning for Embodied Agents4 Feb 2026
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- 2026Can Vision-Language Models Solve the Shell Game?9 Mar 2026
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- 2026How to Build Digital Humans? From Priors to Photorealistic Avatars5 Jul 2026
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- 20266G Communication Networks Enabling Embodied Agents: Architecture and Prototype22 May 2026
- 2026A Co-Evolutionary Theory of Human-AI Coexistence: Mutualism, Governance, and Dynamics in Complex Societies24 Apr 2026
- 2026StreamingClaw Technical Report23 Mar 2026
- 2026HumanOmni-Speaker: Identifying Who said What and When23 Mar 2026
- 2026SpeechLess: Micro-utterance with Personalized Spatial Memory-aware Assistant in Everyday Augmented Reality31 Jan 2026
- 2026Action100M: A Large-scale Video Action Dataset15 Jan 2026
- 2025ReEXplore: Improving MLLMs for Embodied Exploration with Contextualized Retrospective Experience Replay24 Nov 2025
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