I built an AI agent that turns ROS 2's turtlesim into a digital artist
I'm a grad student studying robotics, with a particular interest in the intersection of LLMs and mobile robots. Recently, I discovered how easily LangChain enables the creation of AI agents, and I wanted to explore how such agents could interact with simulated environments. So, I built TurtleSim Agent, an AI agent that turns the classic ROS 2 turtlesim turtle into a creative artist. With this agent, you can give plain English commands like “draw a triangle” or “make a red star,” and it will reason through the instructions and control the simulated turtle accordingly. I’ve included demo…
I built an AI agent that turns ROS 2's turtlesim into a digital artist launched on May 31, 2025 with 30 votes, #703 of 7,905 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
TurtleSim Agent is an AI system that interprets plain English commands to control a simulated turtle in ROS 2's turtlesim environment, turning it into a digital artist. Users can request drawings like triangles or colored stars, and the agent reasons through instructions using a large language model, then executes commands through modular tools for motion and pen control. Built by a robotics graduate student, it demonstrates how language models can interact with robotic simulation environments and is designed for those interested in the intersection of LLMs, robotics, and ROS development.
written from the facts on this page · September 2026
From the sources
Draw with LLMs in ROS2 TurtleSim. Contribute to Yutarop/turtlesim_agent development by creating an account on GitHub.
turtlesim_agent is an AI agent that transforms the classic ROS turtlesim simulator into a creative canvas driven by natural language. Powered by LangChain, this AI agent interprets text-based instructions and translates them into visual drawings, turning the simulated turtle into a digital artist. This project explores how large language models can interact with external environments to exhibit creative behavior. Users can describe shapes or drawing intentions in plain English, and the AI agent reasons through the instructions to execute them using turtlesim's motionfrom github.com
In the maker’s words, at launch
I'm a grad student studying robotics, with a particular interest in the intersection of LLMs and mobile robots. Recently, I discovered how easily LangChain enables the creation of AI agents, and I wanted to explore how such agents could interact with simulated environments. So, I built TurtleSim Agent, an AI agent…
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