A week ago, I shared a project called Turtlesim Agent — an AI agent that lets users control the classic turtlesim turtle using natural language commands like “draw a triangle” or “make a red star.”
Now, I’ve taken the same language-to-robot-behavior idea and applied it to a real robot: the TurtleBot3.
TurtleBot3 Agent interprets natural language instructions and selects from a set of tools to move, read sensor data (like odometry, LiDAR, or camera), and make simple navigation decisions. For example:
“Move forward 0.5 meters”
“Turn left and see if there is any obstacle”
“If you find one, take a photo and come back”
If you're interested in LLMs + robotics, I’d love to hear your thoughts!
Now, I’ve taken the same language-to-robot-behavior idea and applied it to a real robot: the TurtleBot3.
TurtleBot3 Agent interprets natural language instructions and selects from a set of tools to move, read sensor data (like odometry, LiDAR, or camera), and make simple navigation decisions. For example:
“Move forward 0.5 meters” “Turn left and see if there is any obstacle” “If you find one, take a photo and come back”
If you're interested in LLMs + robotics, I’d love to hear your thoughts!
https://github.com/Yutarop/turtlebot3_agent
Previous Project: https://github.com/Yutarop/turtlesim_agent