:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Quevedo, Julian, Sharma, Ansh Kumar, Sun, Yixiang, Suryavanshi, Varad, Liang, Percy, Yang, Sherry
Format:	Preprint
Published:	2025
Subjects:	Robotics Artificial Intelligence
Online Access:	https://arxiv.org/abs/2506.00613
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

World-Gymnast: Training Robots with Reinforcement Learning in a World Model
by: Sharma, Ansh Kumar, et al.
Published: (2026)

Online Dynamic Goal Recognition in Gym Environments
by: Matan, Shamir, et al.
Published: (2025)

RoboSubtaskNet: Temporal Sub-task Segmentation for Human-to-Robot Skill Transfer in Real-World Environments
by: Sharma, Dharmendra, et al.
Published: (2026)

AutoEval: Autonomous Evaluation of Generalist Robot Manipulation Policies in the Real World
by: Zhou, Zhiyuan, et al.
Published: (2025)

AdaWorldPolicy: World-Model-Driven Diffusion Policy with Online Adaptive Learning for Robotic Manipulation
by: Yuan, Ge, et al.
Published: (2026)

Feedback World Model Enables Precise Guidance of Diffusion Policy
by: An, Tuo, et al.
Published: (2026)

World4RL: Diffusion World Models for Policy Refinement with Reinforcement Learning for Robotic Manipulation
by: Jiang, Zhennan, et al.
Published: (2025)

How VLAs (Really) Work In Open-World Environments
by: Rasouli, Amir, et al.
Published: (2026)

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

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

WMPO: World Model-based Policy Optimization for Vision-Language-Action Models
by: Zhu, Fangqi, et al.
Published: (2025)

Act2Goal: From World Model To General Goal-conditioned Policy
by: Zhou, Pengfei, et al.
Published: (2025)

Learning Bilevel Policies over Symbolic World Models for Long-Horizon Planning
by: Chen, Dillon Z., et al.
Published: (2026)

PWM: Policy Learning with Multi-Task World Models
by: Georgiev, Ignat, et al.
Published: (2024)

WorldVLA: Towards Autoregressive Action World Model
by: Cen, Jun, et al.
Published: (2025)

RoboWM-Bench: A Benchmark for Evaluating World Models in Robotic Manipulation
by: Jiang, Feng, et al.
Published: (2026)

Deep Active Inference with Diffusion Policy and Multiple Timescale World Model for Real-World Exploration and Navigation
by: Yokozawa, Riko, et al.
Published: (2025)

Humanoid World Models: Open World Foundation Models for Humanoid Robotics
by: Ali, Muhammad Qasim, et al.
Published: (2025)

WoVR: World Models as Reliable Simulators for Post-Training VLA Policies with RL
by: Jiang, Zhennan, et al.
Published: (2026)

Latent Policy Steering with Embodiment-Agnostic Pretrained World Models
by: Wang, Yiqi, et al.
Published: (2025)

Physically Native World Models: A Hamiltonian Perspective on Generative World Modeling
by: Cui, Sen, et al.
Published: (2026)

World Models as an Intermediary between Agents and the Real World
by: Yang, Sherry
Published: (2026)

Ctrl-World: A Controllable Generative World Model for Robot Manipulation
by: Guo, Yanjiang, et al.
Published: (2025)

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling
by: Chen, Boyu, et al.
Published: (2026)

PlayWorld: Learning Robot World Models from Autonomous Play
by: Yin, Tenny, et al.
Published: (2026)

AeroVerse: UAV-Agent Benchmark Suite for Simulating, Pre-training, Finetuning, and Evaluating Aerospace Embodied World Models
by: Yao, Fanglong, et al.
Published: (2024)

Policy-Guided World Model Planning for Language-Conditioned Visual Navigation
by: Chahe, Amirhosein, et al.
Published: (2026)

Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning
by: Kim, Moo Jin, et al.
Published: (2026)

Imagine-2-Drive: Leveraging High-Fidelity World Models via Multi-Modal Diffusion Policies
by: Garg, Anant, et al.
Published: (2024)

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model
by: Jiang, Anqing, et al.
Published: (2025)

Efficient Real-World Autonomous Racing via Attenuated Residual Policy Optimization
by: Trumpp, Raphael, et al.
Published: (2026)

Prismatic World Model: Learning Compositional Dynamics for Planning in Hybrid Systems
by: Li, Mingwei, et al.
Published: (2025)

URDFormer: A Pipeline for Constructing Articulated Simulation Environments from Real-World Images
by: Chen, Zoey, et al.
Published: (2024)

WARPD: World model Assisted Reactive Policy Diffusion
by: Hegde, Shashank, et al.
Published: (2024)

World Models for General Surgical Grasping
by: Lin, Hongbin, et al.
Published: (2024)

DEFLECT: Delay-Robust Execution via Flow-matching Likelihood-Estimated Counterfactual Tuning for VLA Policies
by: Zhu, Yixiang, et al.
Published: (2026)

EC-Flow: Enabling Versatile Robotic Manipulation from Action-Unlabeled Videos via Embodiment-Centric Flow
by: Chen, Yixiang, et al.
Published: (2025)

Exploring the Potential of World Models for Anomaly Detection in Autonomous Driving
by: Bogdoll, Daniel, et al.
Published: (2023)

CordViP: Correspondence-based Visuomotor Policy for Dexterous Manipulation in Real-World
by: Fu, Yankai, et al.
Published: (2025)

Real World Robotic Exploration using Deep Neural Networks Trained in Photorealistic Reconstructed Environments
by: Ward, Isaac Ronald
Published: (2025)