LLM Robot

This project, developed by a team of students for a university course, demonstrates the integration of Large Language Models (LLMs) with robotic systems using ROS2. The system enables natural language control of a robot, allowing for intuitive human-robot interaction through conversational commands.

Demonstration

The following video demonstrates the robot being controlled by the LLM to map a new environment.

Features

• SLAM: Create and save new maps using simultaneous localization and mapping.
• Relative Navigation: Control the robot’s movement based on its current position.
• Pathfinding: Navigate to saved locations using Nav2.
• Obstacle Avoidance: Dynamically avoid obstacles with Nav2.
• Frontier Exploration: Automatically explore new and unknown areas.