Welcome to the exciting world of robotics! In this guide, we’ll introduce you to **ROSA**, the ROS Agent designed to facilitate interaction with ROS-based robotics systems through natural language queries. Think of ROSA as your friendly robot assistant that understands you better than a conventional command interface.
What is ROSA?
ROSA is an AI-powered assistant built to simplify conversations with robots using the Langchain framework. With ROSA, you can communicate naturally with both ROS1 and ROS2 systems, making robotics development a breeze!
Getting Started
Here’s how you can install and set up ROSA:
Requirements
- Python 3.9 or higher
- ROS Noetic or higher
Installation
To install ROSA, simply run the following command in your terminal:
pip3 install jpl-rosa
Usage Examples
Once installed, you can initiate ROSA in your Python environment:
from rosa import ROSA
llm = get_your_llm_here()
rosa = ROSA(ros_version=1, llm=llm)
rosa.invoke("Show me a list of topics that have publishers but no subscribers")
Here, you’re bringing in ROSA, your interactive assistant, and telling it to fetch a list of topics that have publishers but no subscribers. Imagine asking your robot a simple question rather than typing complex commands!
Adapting ROSA for Your Robot
ROSA is designed for adaptability. Whether you want to tailor it for different robots or specific environments, ROSA lets you either inherit from its class or create a new instance with custom parameters. This flexibility allows for unique implementations suited to your needs.
Running the TurtleSim Demo
ROSA can even help you control the TurtleSim robot in simulation. To try this out, ensure you have Docker installed on your machine. There’s a fascinating video that demonstrates ROSA reasoning about drawing a 5-point star and executing the commands to do so. Check it out!
For detailed instructions on setting up and running the TurtleSim demo, refer to our TurtleSim Demo Guide in the Wiki.
Learn More
Troubleshooting
If you encounter any issues during installation or usage, here are some troubleshooting tips:
- Ensure you have the correct version of Python installed. ROSA requires Python 3.9 or higher.
- Check that your ROS setup is correctly configured. If ROS is not running or is misconfigured, ROSA won’t be able to communicate with it.
- Review the documentation in our Wiki for comprehensive guides.
- If problems persist, consider opening an issue on our GitHub page for community support.
For more insights, updates, or to collaborate on AI development projects, stay connected with **fxis.ai**.
Conclusion
At **fxis.ai**, we believe that such advancements are crucial for the future of AI, as they enable more comprehensive and effective solutions. Our team is continually exploring new methodologies to push the envelope in artificial intelligence, ensuring that our clients benefit from the latest technological innovations.
Ready to take your robot interactions to the next level? With ROSA, you’re well on your way.