32 citations · 35 across the 7 of their papers we have counts for
1 paper · 2 filters
Riccardo Andrea Izzo, Gianluca Bardaro, Matteo Matteucci
This paper presents a novel approach to generating behavior trees for robots using lightweight large language models (LLMs) with a maximum of 7 billion parameters. The study demons…