Yutarop/turtlebot3_agent
Control TurtleBot3 with natural language using LLMs
This project helps robotics researchers, educators, and hobbyists control a TurtleBot3 robot using everyday language instead of complex code. You provide spoken or typed instructions, and the robot performs tasks like moving in specific patterns, accessing its sensors (camera, LiDAR), or reporting its location. It's designed for anyone who wants to interact with a robot more intuitively.
Use this if you want to command a TurtleBot3 robot with natural language, making robot operation more accessible and interactive for prototyping or teaching.
Not ideal if you need precise, real-time, or safety-critical control of industrial robots, or if you are not using a TurtleBot3.
Stars
19
Forks
1
Language
Python
License
MIT
Category
Last pushed
Nov 04, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/agents/Yutarop/turtlebot3_agent"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
InfinitiBit/graphbit
GraphBit is the world’s first enterprise-grade Agentic AI framework, built on a Rust core with a...
autogluon/autogluon-assistant
Multi-Agent System Powered by LLMs for End-to-end Multimodal ML Automation
pguso/agents-from-scratch
Build AI agents from first principles using a local LLM - no frameworks, no cloud APIs, no...
samholt/L2MAC
🚀 The LLM Automatic Computer Framework: L2MAC
pguso/ai-agents-from-scratch
Demystify AI agents by building them yourself. Local LLMs, no black boxes, real understanding of...