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,

• author = "Aaron Verdaguer-Gonzalez and Magi Dalmau-Moreno and Luis Merino and Nestor Garcia",
• title = "Boosting Behavior Tree Generation for Robots with Large Language Models and Genetic Programming",
• booktitle = "2025 IEEE International Conference on Simulation, Modeling, and Programming for Autonomous Robots (SIMPAR)",
• year = "2025",
• month = apr,
• 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",
• DOI = "doi:10.1109/SIMPAR62925.2025.10979061",
• 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.",
• notes = "Also known as \cite{10979061}",

}

Genetic Programming entries for Aaron Verdaguer-Gonzalez Magi Dalmau-Moreno Luis Merino Nestor Garcia

Citations