Hibikino-Musashi@Home 2023 Team Description Paper

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Hibikino-Musashi@Home 2023 Team Description Paper

Authors

Tomoya Shiba, Akinobu Mizutani, Yuga Yano, Tomohiro Ono, Shoshi Tokuno, Daiju Kanaoka, Yukiya Fukuda, Hayato Amano, Mayu Koresawa, Yoshifumi Sakai, Ryogo Takemoto, Katsunori Tamai, Kazuo Nakahara, Hiroyuki Hayashi, Satsuki Fujimatsu, Yusuke Mizoguchi, Moeno Anraku, Mayo Suzuka, Lu Shen, Kohei Maeda, Fumiya Matsuzaki, Ikuya Matsumoto, Kazuya Murai, Kosei Isomoto, Kim Minje, Yuichiro Tanaka, Takashi Morie, Hakaru Tamukoh

Abstract

This paper describes an overview of the techniques of Hibikino-Musashi@Home, which intends to participate in the domestic standard platform league. The team has developed a dataset generator for the training of a robot vision system and an open-source development environment running on a human support robot simulator. The robot system comprises self-developed libraries including those for motion synthesis and open-source software works on the robot operating system. The team aims to realize a home service robot that assists humans in a home, and continuously attend the competition to evaluate the developed system. The brain-inspired artificial intelligence system is also proposed for service robots which are expected to work in a real home environment.

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