Shypd.aiThe largest open index of AI toolsRobotic World Model (RWM) is an AI tool that extends Isaac Lab for robotics simulation. It provides a neural network simulator for robust policy optimization and supports uncertainty-aware robotic world models.
Trending
Also listed in
About
Robotic World Model (RWM) is a GitHub repository that extends Isaac Lab, a robotics simulation platform, with environments and training pipelines for advanced model-based reinforcement learning. It specifically supports Robotic World Model (RWM) and Uncertainty-Aware Robotic World Model (RWM-U) methods. The tool enables joint training of policies and neural dynamics models within Isaac Lab, as well as offline policy training using learned neural network dynamics without requiring a simulator. Users can evaluate model-based versus model-free policies, visualize autoregressive imagination rollouts from learned dynamics, and observe trained policies in Isaac Lab. It offers configurations for model inputs/outputs, architecture, and training hyperparameters, making it a comprehensive solution for researchers and developers in robotics.
Capabilities
Pricing & Plans
Open Source
Free
FAQs
Trending
