Cover Image

The Safety Challenge of World Models for Embodied AI Agents: A Review

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Baraldi, Lorenzo, Zeng, Zifan, Zhang, Chongzhe, Nayak, Aradhana, Zhu, Hongbo, Liu, Feng, Zhang, Qunli, Wang, Peng, Liu, Shiming, Hu, Zheng, Cangelosi, Angelo
Format:	Preprint
Published:	2025
Subjects:	Artificial Intelligence Computer Vision and Pattern Recognition Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

World Models: The Safety Perspective
by: Zeng, Zifan, et al.
Published: (2024)

Embodied Agents for Efficient Exploration and Smart Scene Description
by: Bigazzi, Roberto, et al.
Published: (2023)

Spot the Difference: A Novel Task for Embodied Agents in Changing Environments
by: Landi, Federico, et al.
Published: (2022)

Embodied Navigation at the Art Gallery
by: Bigazzi, Roberto, et al.
Published: (2022)

UNMuTe: Unifying Navigation and Multimodal Dialogue-like Text Generation
by: Rawal, Niyati, et al.
Published: (2024)

AIGeN: An Adversarial Approach for Instruction Generation in VLN
by: Rawal, Niyati, et al.
Published: (2024)

Personalized Instance-based Navigation Toward User-Specific Objects in Realistic Environments
by: Barsellotti, Luca, et al.
Published: (2024)

Mapping High-level Semantic Regions in Indoor Environments without Object Recognition
by: Bigazzi, Roberto, et al.
Published: (2024)

Signs of Language: Embodied Sign Language Fingerspelling Acquisition from Demonstrations for Human-Robot Interaction
by: Tavella, Federico, et al.
Published: (2022)

Modeling the Mental World for Embodied AI: A Comprehensive Review
by: Liu, Biyuan, et al.
Published: (2025)

PhysiAgent: An Embodied Agent Framework in Physical World
by: Wang, Zhihao, et al.
Published: (2025)

Optimizing Resource Consumption in Diffusion Models through Hallucination Early Detection
by: Betti, Federico, et al.
Published: (2024)

Hallucination Early Detection in Diffusion Models
by: Betti, Federico, et al.
Published: (2026)

CASPER: Cognitive Architecture for Social Perception and Engagement in Robots
by: Vinanzi, Samuele, et al.
Published: (2022)

AGENTSAFE: Benchmarking the Safety of Embodied Agents on Hazardous Instructions
by: Ying, Zonghao, et al.
Published: (2025)

Explore and Explain: Self-supervised Navigation and Recounting
by: Bigazzi, Roberto, et al.
Published: (2020)

ReWorld: Multi-Dimensional Reward Modeling for Embodied World Models
by: Peng, Baorui, et al.
Published: (2026)

Bridging the Communication Gap: Artificial Agents Learning Sign Language through Imitation
by: Tavella, Federico, et al.
Published: (2024)

Wanderland: Geometrically Grounded Simulation for Open-World Embodied AI
by: Liu, Xinhao, et al.
Published: (2025)

EmboCoach-Bench: Benchmarking AI Agents on Developing Embodied Robots
by: Lei, Zixing, et al.
Published: (2026)

Imaginative World Modeling with Scene Graphs for Embodied Agent Navigation
by: Hu, Yue, et al.
Published: (2025)

The Great March 100: 100 Detail-oriented Tasks for Evaluating Embodied AI Agents
by: Wang, Ziyu, et al.
Published: (2026)

Learning to Mask and Permute Visual Tokens for Vision Transformer Pre-Training
by: Baraldi, Lorenzo, et al.
Published: (2023)

Contrasting Deepfakes Diffusion via Contrastive Learning and Global-Local Similarities
by: Baraldi, Lorenzo, et al.
Published: (2024)

Tiny Inference-Time Scaling with Latent Verifiers
by: Bucciarelli, Davide, et al.
Published: (2026)

$\mathcal{P}^3$: Toward Versatile Embodied Agents
by: Zhou, Shengli, et al.
Published: (2025)

The ATTUNE model for Artificial Trust Towards Human Operators
by: Petousakis, Giannis, et al.
Published: (2024)

Embodied AI with Two Arms: Zero-shot Learning, Safety and Modularity
by: Varley, Jake, et al.
Published: (2024)

Minimal Embodiment Enables Efficient Learning of Number Concepts in Robot
by: Shangguan, Zhegong, et al.
Published: (2026)

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)

Embodied AI: From LLMs to World Models
by: Feng, Tongtong, et al.
Published: (2025)

RoboChallenge: Large-scale Real-robot Evaluation of Embodied Policies
by: Yakefu, Adina, et al.
Published: (2025)

What Changed? Detecting and Evaluating Instruction-Guided Image Edits with Multimodal Large Language Models
by: Baraldi, Lorenzo, et al.
Published: (2025)

RaTA-Tool: Retrieval-based Tool Selection with Multimodal Large Language Models
by: Mattioli, Gabriele, et al.
Published: (2026)

PEPA: a Persistently Autonomous Embodied Agent with Personalities
by: Liu, Kaige, et al.
Published: (2026)

Embodied Arena: A Comprehensive, Unified, and Evolving Evaluation Platform for Embodied AI
by: Ni, Fei, et al.
Published: (2025)

Joint Action Language Modelling for Transparent Policy Execution
by: Wulff, Theodor, et al.
Published: (2025)

Embodied intelligent industrial robotics: Framework and techniques
by: Zhang, Chaoran, et al.
Published: (2025)

Affordance-Graphed Task Worlds: Self-Evolving Task Generation for Scalable Embodied Learning
by: Liu, Xiang, et al.
Published: (2026)

INF‐SLiM: Large‐Scale Implicit Neural Fields for Semantic LiDAR Mapping of Embodied AI Agents
by: Jianyuan Zhang, et al.
Published: (2025)