Boosting Behavior Tree Generation for Robots with Large Language Models and Genetic Programming
Created by W.Langdon from
gp-bibliography.bib Revision:1.8344
- @InProceedings{Verdaguer-Gonzalez:2025:SIMPAR,
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author = "Aaron Verdaguer-Gonzalez and Magi Dalmau-Moreno and
Luis Merino and Nestor Garcia",
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title = "Boosting Behavior Tree Generation for Robots with
Large Language Models and Genetic Programming",
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booktitle = "2025 IEEE International Conference on Simulation,
Modeling, and Programming for Autonomous Robots
(SIMPAR)",
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year = "2025",
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month = apr,
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keywords = "genetic algorithms, genetic programming, Uncertainty,
Service robots, Scalability, Large language models,
Pipelines, Robot sensing systems, Behavioural sciences,
Usability, Robots, Behaviour Trees, Human-Robot
Interaction, Simulation",
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DOI = "
doi:10.1109/SIMPAR62925.2025.10979061",
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abstract = "Mobile robots are becoming increasingly ubiquitous in
modern society, requiring more human-like interaction
capabilities, such as following operator instructions
and collaborating with humans. Conventional robot
programming methods often fall short in achieving these
complex behaviours. Behaviour Trees (BTs) offer a
promising alternative due to their modularity,
scalability and reactivity. We propose using general
purpose, system-prompted Large Language Model (LLM)
assistants to decompose task descriptions into
executable BTs, which are subsequently refined using
Genetic Programming (GP) and a state machine like
low-resource BT execution simulator, where they will be
tested for task completion. This approach eliminates
the need for fine-tuning LLMs, thereby reducing
computational costs and saving time and energy. Our
method successfully solves all proposed scenarios,
enhances applicability across diverse environments, and
democratizes behaviour generation for non-experts,
outperforming baseline methods in efficiency.",
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notes = "Also known as \cite{10979061}",
- }
Genetic Programming entries for
Aaron Verdaguer-Gonzalez
Magi Dalmau-Moreno
Luis Merino
Nestor Garcia
Citations