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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2511.20180 |
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| _version_ | 1866917102528495616 |
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| author | 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 |
| author_facet | 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 |
| 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2511_20180 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Hibikino-Musashi@Home 2025 Team Description Paper 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 Robotics 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. |
| title | Hibikino-Musashi@Home 2025 Team Description Paper |
| topic | Robotics |
| url | https://arxiv.org/abs/2511.20180 |