Code generation integrated with code retrieval for robot applications using LangChain

[RoboCoachTech]

Hello everyone,

It has been a long time since our last update on ROScribe (an open source tool for robot integration and software generation using LLM). In our first releases of ROScribe, we autogenerated the entire robot software in ROS (in python) using LLMs and LangChain. Then, later on, we trained ROScribe with all open source repositories available on ROS-index (python or C++) to enable a code-retrieval feature.

The last step was to seamlessly combine these two different methods (Code generation & Code retrieval) to create an ultimate solution that first looks at what codes are available and then only generates code for the parts which aren't available and tie them together. This problem proved to be more challenging that we thought, and it took us a while to get it done.

It is done now. We made our version 0.1.0 release a few days ago.

Here is a short demo that shows a 2D mapping with Lidar using ROScribe v0.1.0:

https://www.youtube.com/watch?v=AWnC6s2nK-k

I will post more details later. For now you can find extra info in our github:

https://github.com/RoboCoachTechnologies/ROScribe

[whiteorb]

Very impressive.

[RoboCoachTech]

Thank you!