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Bibliographic Details
Main Authors:	Kobayashi, Ryohei, Isomoto, Kosei, Yamao, Kosei, Fumoto, Soma, Arimura, Koshun, Yamaguchi, Naoki, Mizutani, Akinobu, Shiba, Tomoya, Kimizuka, Kouki, Ohno, Yuta, Terashima, Ryo, Yamaguchi, Hiromasa, Fujino, Tomoaki, Maruno, Ryoga, Yoshimura, Wataru, Mine, Kazuhito, Nhan, Tang Phu Thien, Yano, Yuga, Tanaka, Yuichiro, Nishida, Takeshi, Morie, Takashi, Tamukoh, Hakaru
Format:	Preprint
Published:	2025
Subjects:	Robotics
Online Access:	https://arxiv.org/abs/2511.20180
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Table of Contents:

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 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 the user. Moreover, the team has focused on research involving brain-inspired memory models for adaptation to individual home environments. This approach aims to provide intuitive and personalized assistance. Additionally, the team contributed to the reusability of the navigation system developed by Pumas in RoboCup2024. The team aimed to design a home service robot to assist humans in their homes and continuously attend competitions to evaluate and improve the developed system.

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