著者

美馬 一博

出版者

一般社団法人 日本機械学会

雑誌

ロボティクス・メカトロニクス講演会講演概要集 2022 (ISSN:24243124)

巻号頁・発行日

pp.2P2-R05, 2022 (Released:2022-12-25)

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We are teaching "Fundamental Experiment on Mechatronics". In this experiment, we tried to have students prepare for the experiment by watching a short lecture video, which explains the principle of the experiment, before the day of the experiment together with reading the instruction manual. As a result, we found that while some students were able to gain sufficient understanding, others either did not watch the videos or skipped them, and thus did not fully understand the experiments. In this study, we made a video explaining the principle of the experiment using the “Yukkuri Kaisetsu” slow commentary technique often used on YouTube, etc. The students were asked to watch the video voluntarily, and the results of a questionnaire survey on the ease of understanding were reported.

著者

梅谷 智弘 的場 瞳 榎本 佐知子 陸 鳴宇 北村 達也

出版者

一般社団法人 日本機械学会

雑誌

ロボティクス・メカトロニクス講演会講演概要集 2022 (ISSN:24243124)

巻号頁・発行日

pp.1P1-Q01, 2022 (Released:2022-12-25)

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This paper describes a rapid development of a support robot system for a librarian service desk using a tabletop communication robot. It is important issues that the remote operation of the librarian service desk for the convenience of the visitors and the efficiency of the librarians. We developed a robot system that interacts with high accuracy and low latency in a short period of time using a cloud service for speech recognition and synthesis functions. We conducted participant experiments for tasks for the librarian service desk to evaluate the developed robot system. Experimental results showed the feasibility of the developed systems.

著者

神原 早紀 Liliana Villamar Gómez 三浦 純

出版者

一般社団法人 日本機械学会

雑誌

ロボティクス・メカトロニクス講演会講演概要集 2022 (ISSN:24243124)

巻号頁・発行日

pp.1A1-T04, 2022 (Released:2022-12-25)

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Knowledge and contextual reasoning are essential to provide more efficient service robots that take into account diverse and continuously changing environments. In addition, since robots come into contact with humans, they need to have skills such as interactivity and language skills. In this paper, we propose a system for service robots that combines ontological knowledge reasoning and human-robot interaction to interpret natural language commands and successfully perform household tasks such as finding and delivering objects. We also apply this system to a real robot and verify its operation with commands that receive missing or unclear information, and clarify problems that occur in the real world.