AIRLab-POLIMI/BTGenBot
BTGenBot: a system to generate behavior trees for robots using lightweight (~7 billion parameters) large language models (LLMs)
This project helps robotics engineers and researchers rapidly create the logic that dictates robot actions. It takes a plain language description of a robot's desired task as input and automatically generates a detailed behavior tree in XML format. This allows users to quickly program robot behaviors without manually writing complex control structures.
125 stars. No commits in the last 6 months.
Use this if you need to generate behavior trees for robotic tasks from natural language descriptions, especially when working with resource-constrained or on-robot deployment scenarios.
Not ideal if you prefer to manually craft behavior trees or require extremely fine-grained, bespoke control beyond what automated generation provides.
Stars
125
Forks
9
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Jan 07, 2025
Commits (30d)
0
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