This is the official website of the Happy Robot team at the Kanazawa Institute of Technology in Japan for the RoboCup World Championship 2026 evaluation.
Team Video
Team Descripton Paper
Team Web Site
GitHub
Publications
- Book
- Kosei Demura, Yoshinobu Hagiwara, Yasuhiro Masutani, Jeffrey Too Chuan TAN: Introduction to AI Robotics – Building and Learning with ROS2 and Python – , Revised Second Edition (in Japanese), Kodansha Ltd., Publishers, Feb, 2025
- Overview
This revised edition updates ROS 2 from Foxy to Humble, replaces service communication with actions, and switches the middleware from Fast DDS to Cyclone DDS for improved stability. It also incorporates Whisper for more accurate speech processing, adds Nav2 Simple Commander to simplify navigation, introduces object segmentation to enhance vision, and includes new programs using MoveIt and FlexBE to support more practical manipulation and intuitive behavior planning. - Support site
- Overview
- Kosei Demura, Yoshinobu Hagiwara, Yasuhiro Masutani, Jeffrey Too Chuan TAN: Introduction to AI Robotics – Building and Learning with ROS2 and Python –, First Edition (in Japanese), Kodansha Ltd., Publishers, Aug, 2022
- Kosei Demura, Yoshinobu Hagiwara, Yasuhiro Masutani, Jeffrey Too Chuan TAN: Introduction to AI Robotics – Building and Learning with ROS2 and Python – , Revised Second Edition (in Japanese), Kodansha Ltd., Publishers, Feb, 2025
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- Overview
In this text book, readers are guided through the process of constructing AI robots utilizing ROS2 and Python. The material elucidates the integration of AI capabilities, including speech recognition and synthesis, navigation, image recognition, and natural language processing, within the context of ROS2. Additionally, example code and supplementary resources are offered to facilitate the practical application of AI robots. - Support site
- Overview
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- Journal
- Akitsugu Hasegawa, Kosei Demura: Development of a robot hand with four primitive motions for efficient assembly of various ingredients in Bento boxes, Advanced Robotics, 39(8) 441-456, 2025
- Ren Matsubara, Kosei Demura: Development of a general-purpose gripper with selectable gripping method by jamming transfer and adhesion (in Japanese), Journal of the Robotics Society of Japan, 41(1) 61-71, 2023
- Kosuke Mizutani, Nobuhiro Nagasawa, Kosei Demura: Development of automatic opening and closing shelf for convenience stores in cooperation with collaborative robot, Advanced Robotics, 36(23) 1241-1251, 2022
- Shogo Okano, Tatsuhito Makino, Kosei Demura: Fluorescent Texture: Proposal of a 2-3D Automatic Annotation Method for Deep Learning (in Japanese), Journal of the Robotics Society of Japan, 40(1) 71-82, 2022
- Mizuho Shibata, Kosei Demura, Shinichi Hirai, Akihiro Matsumoto:
Comparative Study of Robotics Curricula, IEEE Transactions on Education, 64(3) 283-291, 2020
Team members
- Adviser: Prof. Kosei Demura, Dept. of Robotics, Kanazawa Institute of Technology. JAPAN
- Team Leader: Aoi Hayashi
- Members: Takuya Shimada, Yuta Okitsu, Kouki Sugimoto, Masaya Wada, Zinnsei Arai, Yamato Koizumi, Natsuki Sasaki, Keitatsu Sawanobori, Yoshiki Takahashi, Masami Takizawa, Yukitaka Tachibana, Sho Taniguchi, Masaya Watanabe
- Contact Person: Kosei Demura
Previous participation in RoboCup, local RoboCup tournaments, and rankings
- RoboCup World Championship
- 2nd place in 2024 (@Home Playground)
- 2nd place in 2023 (@Home Education Workshop and Challenge)
- 5th place in 2018 (@Home league)
- 9th place in 2017 (@Home league)
- 8th place in 2016 (@Home league)
- 9th place in 2015 (@Home league)
- RoboCup Japan Open
- 3rd place in 2025 (Competition, @Home OPL)
- 2nd place in 2025 (Open challenge, @Home OPL)
- 3rd place in 2024 (Competition, @Home Bridge Competion)
- 1st place in 2024 (Open challenge, @Home OPL)
- 1st place in 2023 (Competition, @Home Education)
- 1st place in 2022 (Competition, @Home Education)
- 3rd place in 2017 (Competition, @Home OPL)
- 1st place in 2026 (Competition, @Home Education)
The End