LiP-LLM: Integrating Linear Programming and Dependency Graph With LLMs for Multi-Robot Task Planning

2025年2月1日·
Takato Horii
Takato Horii
· 0 min read
Authors
Kazuma Obata, Tatsuya Aoki, Takato Horii, Tadahiro Taniguchi, Takayuki Nagai
Abstract
We propose a multi-robot task planning method that integrates Large Language Models (LLMs) with linear programming and dependency graphs. By combining the natural-language understanding capabilities of LLMs with optimization techniques, the method efficiently generates plans for complex multi-robot cooperative tasks.
Type
Publication
IEEE Robotics and Automation Letters, 10(2), 1122-1129
publications
Takato Horii
Authors
Associate Professor
Associate Professor at Graduate School of Engineering Science, Osaka University. Research interests include cognitive developmental robotics, computational modeling of emotional development, and human-robot interaction.