SimWorld Documentation ==================================== .. image:: assets/simworld_overview.png :alt: SimWorld Overview :width: 800px :align: center .. raw:: html

Welcome to the **SimWorld** Documentation! Realistic, open-ended, and natively LLM/VLM-compatible simulators are essential for advancing agent development in complex physical and social environments. However, most existing simulators focus on indoor or task-specific domains (e.g., household robotics or autonomous driving), limiting research into large-scale, open-ended scenarios with realistic physical and social dynamics. SimWorld addresses these limitations by providing a comprehensive platform that combines: 1. Realistic, Open-Ended World Simulation. 2. Rich Interface for LLM/VLM Agents. 3. Diverse Physical and Social Reasoning Scenarios. With SimWorld, researchers can explore embodied intelligence at scale, enabling agents to perceive, reason, and act in complex, dynamic worlds that closely mirror real-world scenarios. .. note:: This project is under active development. .. toctree:: :maxdepth: 2 :caption: GETTING STARTED getting_started/introduction getting_started/installation getting_started/configuration getting_started/minimal_example getting_started/base_environments getting_started/additional_environments .. toctree:: :maxdepth: 2 :caption: CUSTOMIZATION customization/make_your_own_pak .. toctree:: :maxdepth: 1 :caption: NEXT STEPS next_steps/next_step .. toctree:: :maxdepth: 2 :caption: SIMWORLD MODULES components/overview components/ue_detail components/citygen components/waypoint_system components/traffic_system components/agent_system components/unrealcv+ .. toctree:: :maxdepth: 2 :caption: ADDITIONAL CONFIGURATION additional_configuration/configuration .. toctree:: :maxdepth: 2 :caption: PYTHON API REFERENCE resources/modules .. toctree:: :maxdepth: 2 :caption: SIMWORLD ROBOTICS simworld-robotics/simworld_robotics