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Gianluca Bardaro

2 accepted papers

2024

BTGenBot: Behavior Tree Generation for Robotic Tasks with Lightweight LLMs

IROS 2024poster

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 demonstrates that it is possible to achieve satisfying results with compact LLMs when fine-tuned on a specific dataset. The ke…

Cited by 12SourcecodeScholar
2019

Toward model-based benchmarking of robot components

IROS 2019poster

The results of scientific experiments performed by different groups are rarely directly comparable. Efforts such as the European Robotics League offer to the community, in the form of competitions, well documented and stable benchmarks to assess the performance of existing systems. However, benchmar…

Cited by 4SourceScholar