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GitHub - Yutarop/turtlesim_agent: Draw with AI in ROS2 TurtleSim

May 31, 2025 - github.com
The `turtlesim_agent` project is an AI-driven extension of the classic ROS turtlesim simulator, transforming it into a creative platform that interprets natural language instructions to produce visual drawings. Powered by LangChain, the AI agent uses text-based prompts to guide the turtle's movements, allowing users to describe shapes or drawing intentions in plain English. The project demonstrates how large language models can interact with external environments to exhibit creative behavior, with examples including drawing basic shapes and a rainbow using specific prompts.

To get started with `turtlesim_agent`, users need ROS 2 Humble Hawksbill, Python 3.10+, and other dependencies listed in the `requirements.txt` file. The setup involves cloning the repository, configuring API keys for language model providers, and setting the desired language model in the code. The agent can be run in two modes: a CLI-based interface for development and debugging, and a GUI-based chat interface for user-friendly interaction. The project encourages extending the agent's capabilities by adding new tools to the `tools/` directory, and contributions are welcomed to enhance its creative potential.

Key takeaways:

  • Turtlesim_agent transforms the ROS turtlesim simulator into a creative canvas driven by natural language using AI.
  • The project requires ROS 2 Humble Hawksbill, Python 3.10+, and other dependencies listed in requirements.txt.
  • Users can interact with the agent via CLI or GUI, with options to extend its capabilities by adding new tools.
  • Contributions are welcome to enhance the agent's creativity, including new tools, models, prompts, and use cases.
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