Hibikino-Musashi@Home 2024 Team Description Paper
Kosei Isomoto
Akinobu Mizutani Fumiya Matsuzaki
Hikaru Sato
Ikuya
Matsumoto
Kosei Yamao
Takuya Kawabata
Tomoya Shiba
Yuga Yano
Atsuki Yokota
Daiju Kanaoka
Hiromasa Yamaguchi
Kazuya Murai
Kim Minje
Lu Shen
Mayo Suzuka
Moeno Anraku
Naoki Yamaguchi
Satsuki Fujimatsu
Shoshi Tokuno
Tadataka Mizo
Tomoaki Fujino
Yuuki Nakadera
Yuka Shishido
Yusuke Nakaoka
Yuichiro Tanaka
Takashi Morie
H. Tamukoh

Abstract
This paper provides an overview of the techniques employed by Hibikino-Musashi@Home, which intends to participate in the domestic standard platform league. The team has developed a dataset generator for training a robot vision system and an open-source development environment running on a Human Support Robot simulator. The large language model powered task planner selects appropriate primitive skills to perform the task requested by users. The team aims to design a home service robot that can assist humans in their homes and continuously attends competitions to evaluate and improve the developed system.
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