Kosei Demura, Yoshinobu Hagiwara, Yasuhiro Masutani, Jeffrey Too Chuan TAN: Introduction to AI Robotics – Building and Learning with ROS2 and Python – (in Japanese), Kodansha Ltd., Publishers, Aug, 2022
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.
Mizuho Shibata, Kosei Demura, Shinichi Hirai, Akihiro Matsumoto: Comparative Study of Robotics Curricula, IEEE Transactions on Education, 64(3) 283-291, 2020
Kosei Demura: Utilization of Middleware in a Virtual Robot Competition Robotics X (in Japanese), Journal of the Society of Instrument and Control Engineers, 57(10) 725-728, 2018
Kosei Demura, Kensei Demura: Usage of ROS for RoboCup@Home (in Japanese), Journal of the Robotics Society of Japan, 35(4) 295-296, 2017
Ryoichi Suzuki, Hiroyuki Kawai, Toshiyuki Murao, Kosei Demura: Innovative Engineering Design Practice in Robotics: A Case Study at Kanazawa Institute of Technology (in Japanese), 56TH ANNUAL CONFERENCE OF THE SOCIETY OF INSTRUMENT AND CONTROL ENGINEERS OF JAPAN (SICE), 851-852, 2017
Kosei Demura, Takashi Kawanami, Yoshinori Takei, Minoru Nakazawa, Kiyosoh Kogure: The Vision and Future of the Yumekobo Junior (in Japanese), KIT Progress, 23, 115-126, 2015
Kosei Demura, Takumi Sakamoto, Yasuki Asano, Masakatsu Matsuishi: Enhancing Student Engineering, Personal, and Interpersonal Skills Through Yumekobo Projects, Journal of Robotics Mechatronics, 23 (5), 811-821, 2011
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