Hello
I have been exploring ways to make TurtleBot more user-friendly for people who are not programmers; especially in educational & demonstration settings. 
One idea is to integrate a natural language interface so the robot can respond to voice / typed commands like “navigate to the kitchen” / “follow me.” This would make TurtleBot more engaging for workshops, public demos & even home robotics projects.
The main challenge is translating natural language into precise ROS commands that TurtleBot understands. I am considering using a lightweight NLP pipeline or an API-based AI model to process commands, map them to known actions & execute them safely.
Has anyone tried something like this already? I would like to discuss the best approach for integrating natural language processing with ROS in a way that is fast, reliable & doesn’t require cloud access if working offline.
A good reference for anyone interested is the TurtleBot3 ROS Tutorials, which provide a solid foundation for command and control integration.
While reading about possible integrations; I started thinking about what is ChatGPT and how similar conversational AI models could make controlling TurtleBot more intuitive for non-technical users.
Thank you !!