Cover Image

Robotic World Model: A Neural Network Simulator for Robust Policy Optimization in Robotics

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Chenhao, Krause, Andreas, Hutter, Marco
Format:	Preprint
Published:	2025
Subjects:	Robotics Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Uncertainty-Aware Robotic World Model Makes Offline Model-Based Reinforcement Learning Work on Real Robots
by: Li, Chenhao, et al.
Published: (2025)

Feature-Based vs. GAN-Based Learning from Demonstrations: When and Why
by: Li, Chenhao, et al.
Published: (2025)

Symmetry-Guided Memory Augmentation for Efficient Locomotion Learning
by: Bao, Kaixi, et al.
Published: (2025)

Bridging the Gap: Enabling Soft Actor Critic for High Performance Legged Locomotion
by: Sabatini, Gianluca, et al.
Published: (2026)

Robust Recovery Controller for a Quadrupedal Robot using Deep Reinforcement Learning
by: Lee, Joonho, et al.
Published: (2019)

Adaptive Diffusion Policy Optimization for Robotic Manipulation
by: Jiang, Huiyun, et al.
Published: (2025)

Diffusion Graph Neural Networks and Dataset for Robust Olfactory Navigation in Hazard Robotics
by: France, Kordel K., et al.
Published: (2025)

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

What Matters for Simulation to Online Reinforcement Learning on Real Robots
by: As, Yarden, et al.
Published: (2026)

A Taxonomy for Evaluating Generalist Robot Manipulation Policies
by: Gao, Jensen, et al.
Published: (2025)

Structured Graph Network for Constrained Robot Crowd Navigation with Low Fidelity Simulation
by: Liu, Shuijing, et al.
Published: (2024)

Population-Coded Spiking Neural Networks for High-Dimensional Robotic Control
by: Jaisankar, Kanishkha, et al.
Published: (2025)

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning
by: Xu, Charles, et al.
Published: (2024)

Real-World Robot Control by Deep Active Inference With a Temporally Hierarchical World Model
by: Fujii, Kentaro, et al.
Published: (2025)

EUPHORIA: Efficient Universal Planning via Hybrid Optimization for Robust Industrial Robotic Assembly
by: Lai, Shih-Yu, et al.
Published: (2026)

Neural Robot Dynamics
by: Xu, Jie, et al.
Published: (2025)

DreamGen: Unlocking Generalization in Robot Learning through Video World Models
by: Jang, Joel, et al.
Published: (2025)

Robot Policy Learning with Temporal Optimal Transport Reward
by: Fu, Yuwei, et al.
Published: (2024)

Body Transformer: Leveraging Robot Embodiment for Policy Learning
by: Sferrazza, Carmelo, et al.
Published: (2024)

robosuite: A Modular Simulation Framework and Benchmark for Robot Learning
by: Zhu, Yuke, et al.
Published: (2020)

Safe Exploration via Policy Priors
by: Wendl, Manuel, et al.
Published: (2026)

Towards Interpretable Foundation Models of Robot Behavior: A Task Specific Policy Generation Approach
by: Sheidlower, Isaac, et al.
Published: (2024)

Safe Reinforcement Learning in a Simulated Robotic Arm
by: Kovač, Luka, et al.
Published: (2023)

A Retrospective on the Robot Air Hockey Challenge: Benchmarking Robust, Reliable, and Safe Learning Techniques for Real-world Robotics
by: Liu, Puze, et al.
Published: (2024)

RL-100: Performant Robotic Manipulation with Real-World Reinforcement Learning
by: Lei, Kun, et al.
Published: (2025)

Tool-as-Interface: Learning Robot Policies from Observing Human Tool Use
by: Chen, Haonan, et al.
Published: (2025)

Towards Autonomous Reinforcement Learning for Real-World Robotic Manipulation with Large Language Models
by: Turcato, Niccolò, et al.
Published: (2025)

Unified World Models: Coupling Video and Action Diffusion for Pretraining on Large Robotic Datasets
by: Zhu, Chuning, et al.
Published: (2025)

ImaginationPolicy: Towards Generalizable, Precise and Reliable End-to-End Policy for Robotic Manipulation
by: Lu, Dekun, et al.
Published: (2025)

Blox-Net: Generative Design-for-Robot-Assembly Using VLM Supervision, Physics Simulation, and a Robot with Reset
by: Goldberg, Andrew, et al.
Published: (2024)

Enhancing Robot Navigation Policies with Task-Specific Uncertainty Managements
by: Puthumanaillam, Gokul, et al.
Published: (2025)

Fidelity-Aware Data Composition for Robust Robot Generalization
by: Tong, Zizhao, et al.
Published: (2025)

RoboPocket: Improve Robot Policies Instantly with Your Phone
by: Fang, Junjie, et al.
Published: (2026)

Online Foundation Model Selection in Robotics
by: Li, Po-han, et al.
Published: (2024)

Continual Policy Distillation of Reinforcement Learning-based Controllers for Soft Robotic In-Hand Manipulation
by: Li, Lanpei, et al.
Published: (2024)

A Review of Online Diffusion Policy RL Algorithms for Scalable Robotic Control
by: Choi, Wonhyeok, et al.
Published: (2026)

A Mechanistic Analysis of Sim-and-Real Co-Training in Generative Robot Policies
by: Lei, Yu, et al.
Published: (2026)

Distilling Reinforcement Learning Policies for Interpretable Robot Locomotion: Gradient Boosting Machines and Symbolic Regression
by: Acero, Fernando, et al.
Published: (2024)

VLMgineer: Vision Language Models as Robotic Toolsmiths
by: Gao, George Jiayuan, et al.
Published: (2025)

KALIE: Fine-Tuning Vision-Language Models for Open-World Manipulation without Robot Data
by: Tang, Grace, et al.
Published: (2024)