Cover Image

WorldEval: World Model as Real-World Robot Policies Evaluator

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Yaxuan, Zhu, Yichen, Wen, Junjie, Shen, Chaomin, Xu, Yi
Format:	Preprint
Published:	2025
Subjects:	Robotics Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ChatVLA-2: Vision-Language-Action Model with Open-World Embodied Reasoning from Pretrained Knowledge
by: Zhou, Zhongyi, et al.
Published: (2025)

Evaluating Real-World Robot Manipulation Policies in Simulation
by: Li, Xuanlin, et al.
Published: (2024)

PointVLA: Injecting the 3D World into Vision-Language-Action Models
by: Li, Chengmeng, et al.
Published: (2025)

Interactive World Simulator for Robot Policy Training and Evaluation
by: Wang, Yixuan, et al.
Published: (2026)

ChatVLA: Unified Multimodal Understanding and Robot Control with Vision-Language-Action Model
by: Zhou, Zhongyi, et al.
Published: (2025)

ObjectVLA: End-to-End Open-World Object Manipulation Without Demonstration
by: Zhu, Minjie, et al.
Published: (2025)

Inference-Time Enhancement of Generative Robot Policies via Predictive World Modeling
by: Qi, Han, et al.
Published: (2025)

World Action Models are Zero-shot Policies
by: Ye, Seonghyeon, et al.
Published: (2026)

DexVLA: Vision-Language Model with Plug-In Diffusion Expert for General Robot Control
by: Wen, Junjie, et al.
Published: (2025)

Evaluating Gemini Robotics Policies in a Veo World Simulator
by: Gemini Robotics Team, et al.
Published: (2025)

Surfer: Progressive Reasoning with World Models for Robotic Manipulation
by: Ren, Pengzhen, et al.
Published: (2023)

MoDem-V2: Visuo-Motor World Models for Real-World Robot Manipulation
by: Lancaster, Patrick, et al.
Published: (2023)

SCENEREPLICA: Benchmarking Real-World Robot Manipulation by Creating Replicable Scenes
by: Khargonkar, Ninad, et al.
Published: (2023)

DiWA: Diffusion Policy Adaptation with World Models
by: Chandra, Akshay L, et al.
Published: (2025)

Real-World Robot Applications of Foundation Models: A Review
by: Kawaharazuka, Kento, et al.
Published: (2024)

Vision-Language-Action Models for Robotics: A Review Towards Real-World Applications
by: Kawaharazuka, Kento, et al.
Published: (2025)

Multi-Stage Manipulation with Demonstration-Augmented Reward, Policy, and World Model Learning
by: Escoriza, Adrià López, et al.
Published: (2025)

Scaling Face Interaction Graph Networks to Real World Scenes
by: Lopez-Guevara, Tatiana, et al.
Published: (2024)

StressDream: Steering Video World Models for Robust Policy Evaluation and Improvement
by: Seo, Junwon, et al.
Published: (2026)

Synchronous vs Asynchronous Reinforcement Learning in a Real World Robot
by: Parsaee, Ali, et al.
Published: (2025)

Reconstruction or Semantics? What Makes a Latent Space Useful for Robotic World Models
by: Nilaksh, et al.
Published: (2026)

iVideoGPT: Interactive VideoGPTs are Scalable World Models
by: Wu, Jialong, et al.
Published: (2024)

Learning Real-World Action-Video Dynamics with Heterogeneous Masked Autoregression
by: Wang, Lirui, et al.
Published: (2025)

GWM: Towards Scalable Gaussian World Models for Robotic Manipulation
by: Lu, Guanxing, et al.
Published: (2025)

Motus: A Unified Latent Action World Model
by: Bi, Hongzhe, et al.
Published: (2025)

Bench2Drive-R: Turning Real World Data into Reactive Closed-Loop Autonomous Driving Benchmark by Generative Model
by: You, Junqi, et al.
Published: (2024)

Aether: Geometric-Aware Unified World Modeling
by: Aether Team, et al.
Published: (2025)

Real-to-Sim Robot Policy Evaluation with Gaussian Splatting Simulation of Soft-Body Interactions
by: Zhang, Kaifeng, et al.
Published: (2025)

Dream to Drive with Predictive Individual World Model
by: Gao, Yinfeng, et al.
Published: (2025)

DISK: Dynamic Inference SKipping for World Models
by: Naman, Anugunj, et al.
Published: (2026)

Opening Articulated Structures in the Real World
by: Gupta, Arjun, et al.
Published: (2024)

BEHAVIOR Robot Suite: Streamlining Real-World Whole-Body Manipulation for Everyday Household Activities
by: Jiang, Yunfan, et al.
Published: (2025)

Causal World Modeling for Robot Control
by: Li, Lin, et al.
Published: (2026)

PIVOT-R: Primitive-Driven Waypoint-Aware World Model for Robotic Manipulation
by: Zhang, Kaidong, et al.
Published: (2024)

ExoPredicator: Learning Abstract Models of Dynamic Worlds for Robot Planning
by: Liang, Yichao, et al.
Published: (2025)

LUMOS: Language-Conditioned Imitation Learning with World Models
by: Nematollahi, Iman, et al.
Published: (2025)

Learning Massively Multitask World Models for Continuous Control
by: Hansen, Nicklas, et al.
Published: (2025)

AdaWorld: Learning Adaptable World Models with Latent Actions
by: Gao, Shenyuan, et al.
Published: (2025)

Diffusion-VLA: Generalizable and Interpretable Robot Foundation Model via Self-Generated Reasoning
by: Wen, Junjie, et al.
Published: (2024)

ReGentS: Real-World Safety-Critical Driving Scenario Generation Made Stable
by: Yin, Yuan, et al.
Published: (2024)