Modeling the Mental World for Embodied AI: A Comprehensive Review
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Biyuan, Xu, Daigang, Jiang, Lei, Guo, Wenjun, Chen, Ping |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Embodied Arena: A Comprehensive, Unified, and Evolving Evaluation Platform for Embodied AI
by: Ni, Fei, et al.
Published: (2025)
by: Ni, Fei, et al.
Published: (2025)
ReWorld: Multi-Dimensional Reward Modeling for Embodied World Models
by: Peng, Baorui, et al.
Published: (2026)
by: Peng, Baorui, et al.
Published: (2026)
Embodied AI: From LLMs to World Models
by: Feng, Tongtong, et al.
Published: (2025)
by: Feng, Tongtong, et al.
Published: (2025)
The Safety Challenge of World Models for Embodied AI Agents: A Review
by: Baraldi, Lorenzo, et al.
Published: (2025)
by: Baraldi, Lorenzo, et al.
Published: (2025)
Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning
by: Liang, Wenlong, et al.
Published: (2025)
by: Liang, Wenlong, et al.
Published: (2025)
Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI
by: Liu, Yang, et al.
Published: (2024)
by: Liu, Yang, et al.
Published: (2024)
Wanderland: Geometrically Grounded Simulation for Open-World Embodied AI
by: Liu, Xinhao, et al.
Published: (2025)
by: Liu, Xinhao, et al.
Published: (2025)
Imaginative World Modeling with Scene Graphs for Embodied Agent Navigation
by: Hu, Yue, et al.
Published: (2025)
by: Hu, Yue, et al.
Published: (2025)
GigaWorld-0: World Models as Data Engine to Empower Embodied AI
by: GigaWorld Team, et al.
Published: (2025)
by: GigaWorld Team, et al.
Published: (2025)
World Action Models: The Next Frontier in Embodied AI
by: Wang, Siyin, et al.
Published: (2026)
by: Wang, Siyin, et al.
Published: (2026)
Wow, wo, val! A Comprehensive Embodied World Model Evaluation Turing Test
by: Fan, Chun-Kai, et al.
Published: (2026)
by: Fan, Chun-Kai, et al.
Published: (2026)
RLinf-USER: A Unified and Extensible System for Real-World Online Policy Learning in Embodied AI
by: Zang, Hongzhi, et al.
Published: (2026)
by: Zang, Hongzhi, et al.
Published: (2026)
Embodied Navigation Foundation Model
by: Zhang, Jiazhao, et al.
Published: (2025)
by: Zhang, Jiazhao, et al.
Published: (2025)
RoboScape: Physics-informed Embodied World Model
by: Shang, Yu, et al.
Published: (2025)
by: Shang, Yu, et al.
Published: (2025)
Embodied Tree of Thoughts: Deliberate Manipulation Planning with Embodied World Model
by: Xu, Wenjiang, et al.
Published: (2025)
by: Xu, Wenjiang, et al.
Published: (2025)
Learning 3D Persistent Embodied World Models
by: Zhou, Siyuan, et al.
Published: (2025)
by: Zhou, Siyuan, et al.
Published: (2025)
A Survey on Robotics with Foundation Models: toward Embodied AI
by: Xu, Zhiyuan, et al.
Published: (2024)
by: Xu, Zhiyuan, et al.
Published: (2024)
EWMBench: Evaluating Scene, Motion, and Semantic Quality in Embodied World Models
by: Yue, Hu, et al.
Published: (2025)
by: Yue, Hu, et al.
Published: (2025)
IGOR: Image-GOal Representations are the Atomic Control Units for Foundation Models in Embodied AI
by: Chen, Xiaoyu, et al.
Published: (2024)
by: Chen, Xiaoyu, et al.
Published: (2024)
RealMirror: A Comprehensive, Open-Source Vision-Language-Action Platform for Embodied AI
by: Tai, Cong, et al.
Published: (2025)
by: Tai, Cong, et al.
Published: (2025)
EVA: An Embodied World Model for Future Video Anticipation
by: Chi, Xiaowei, et al.
Published: (2024)
by: Chi, Xiaowei, et al.
Published: (2024)
Kinema4D: Kinematic 4D World Modeling for Spatiotemporal Embodied Simulation
by: Xu, Mutian, et al.
Published: (2026)
by: Xu, Mutian, et al.
Published: (2026)
BEDI: A Comprehensive Benchmark for Evaluating Embodied Agents on UAVs
by: Guo, Mingning, et al.
Published: (2025)
by: Guo, Mingning, et al.
Published: (2025)
A Survey: Learning Embodied Intelligence from Physical Simulators and World Models
by: Long, Xiaoxiao, et al.
Published: (2025)
by: Long, Xiaoxiao, et al.
Published: (2025)
WorldArena: A Unified Benchmark for Evaluating Perception and Functional Utility of Embodied World Models
by: Shang, Yu, et al.
Published: (2026)
by: Shang, Yu, et al.
Published: (2026)
Learning Primitive Embodied World Models: Towards Scalable Robotic Learning
by: Sun, Qiao, et al.
Published: (2025)
by: Sun, Qiao, et al.
Published: (2025)
Sensing, Social, and Motion Intelligence in Embodied Navigation: A Comprehensive Survey
by: Xiong, Chaoran, et al.
Published: (2025)
by: Xiong, Chaoran, et al.
Published: (2025)
EmboCoach-Bench: Benchmarking AI Agents on Developing Embodied Robots
by: Lei, Zixing, et al.
Published: (2026)
by: Lei, Zixing, et al.
Published: (2026)
The Essential Role of Causality in Foundation World Models for Embodied AI
by: Gupta, Tarun, et al.
Published: (2024)
by: Gupta, Tarun, et al.
Published: (2024)
ESARBench: A Benchmark for Agentic UAV Embodied Search and Rescue
by: Zhang, Daoxuan, et al.
Published: (2026)
by: Zhang, Daoxuan, et al.
Published: (2026)
EmbodiedCoder: Parameterized Embodied Mobile Manipulation via Modern Coding Model
by: Lin, Zefu, et al.
Published: (2025)
by: Lin, Zefu, et al.
Published: (2025)
SKIP: Sparse Keyframe Interpolation Paradigm for Efficient Embodied World Models
by: He, Ziheng, et al.
Published: (2026)
by: He, Ziheng, et al.
Published: (2026)
DM0: An Embodied-Native Vision-Language-Action Model towards Physical AI
by: Yu, En, et al.
Published: (2026)
by: Yu, En, et al.
Published: (2026)
Physically Embodied Gaussian Splatting: A Realtime Correctable World Model for Robotics
by: Abou-Chakra, Jad, et al.
Published: (2024)
by: Abou-Chakra, Jad, et al.
Published: (2024)
Embodied AI in Action: Insights from SAE World Congress 2026 on Safety, Trust, Robotics, and Real-World Deployment
by: Li, Jan-Mou, et al.
Published: (2026)
by: Li, Jan-Mou, et al.
Published: (2026)
EmbodiedClaw: Conversational Workflow Execution for Embodied AI Development
by: Zhou, Xueyang, et al.
Published: (2026)
by: Zhou, Xueyang, et al.
Published: (2026)
Reinforced Embodied Planning with Verifiable Reward for Real-World Robotic Manipulation
by: Bo, Zitong, et al.
Published: (2025)
by: Bo, Zitong, et al.
Published: (2025)
Grounding Large Language Models In Embodied Environment With Imperfect World Models
by: Liu, Haolan, et al.
Published: (2024)
by: Liu, Haolan, et al.
Published: (2024)
Embodied Referring Expression Comprehension in Human-Robot Interaction
by: Islam, Md Mofijul, et al.
Published: (2025)
by: Islam, Md Mofijul, et al.
Published: (2025)
RynnBrain: Open Embodied Foundation Models
by: Dang, Ronghao, et al.
Published: (2026)
by: Dang, Ronghao, et al.
Published: (2026)
Similar Items
-
Embodied Arena: A Comprehensive, Unified, and Evolving Evaluation Platform for Embodied AI
by: Ni, Fei, et al.
Published: (2025) -
ReWorld: Multi-Dimensional Reward Modeling for Embodied World Models
by: Peng, Baorui, et al.
Published: (2026) -
Embodied AI: From LLMs to World Models
by: Feng, Tongtong, et al.
Published: (2025) -
The Safety Challenge of World Models for Embodied AI Agents: A Review
by: Baraldi, Lorenzo, et al.
Published: (2025) -
Large Model Empowered Embodied AI: A Survey on Decision-Making and Embodied Learning
by: Liang, Wenlong, et al.
Published: (2025)