Enables natural language-driven creation and execution of autonomous-vehicle scenarios in the CARLA simulator, with validated primitives and replay support.
Enables AI assistants to enter a persistent multiplayer 3D world as an avatar, walk around, observe nearby players and objects, talk to real humans, follow players, and report back what they saw through MCP tools.
Enables scenario control, parking, sensor configuration and visualization, recording/playback, weather and traffic-light management for the customized CARLA UE5 simulator, with ROS 2 bag integration, through MCP tools and resources.
Enables interactive design, execution, and analysis of SUMO traffic simulations through natural language, providing tools for scenario generation, policy experimentation, result analysis, and visualization.
Enables AI assistants to control NVIDIA Isaac Sim by building scenes, loading assets, operating robots and humans, reading sensors, managing simulation, and creating Action Graphs.
Enables robot navigation control and monitoring through natural language. Provides tools for robot positioning, navigation to coordinates, device status monitoring, task management, and emergency controls.