Journal of Robotics and Mechatronics
Online ISSN : 1883-8049
Print ISSN : 0915-3942
ISSN-L : 0915-3942
Special Issue on Hands-on STEM/STEAM Education
Project-Based Learning in Robotics: Integrating Object Detection AI and Mechatronics in Undergraduate Engineering Education
Kazuteru Tobita
著者情報
ジャーナル オープンアクセス

2026 年 38 巻 1 号 p. 35-46

詳細
抄録

This study presents a project based learning approach to engineering education that integrates robotics, AI, and multidisciplinary knowledge. This study focuses on creative exercise of robotics engineering for third-year mechanical engineering students at the Shizuoka Institute of Science and Technology. Students were tasked with designing and manufacturing a robotic arm and hand capable of detecting and manipulating objects using image processing and AI. This project aimed to cultivate problem-solving skills, creativity, and the ability to apply knowledge from various disciplines. The students were given constraints on weight, size, cost, and the use of specific software. The project was conducted over two semesters, with presentations and demonstrations at the end of each semester. The results showed that most groups successfully completed the task, with students reporting a high sense of accomplishment. A questionnaire administered to the students revealed that the project was challenging but rewarding, and that they were able to apply knowledge from various courses, particularly in the areas of Industrial Mechanics / Mechanics of Materials, Machine Elements / Mechanism, Instrumentation Engineering, Mechatronics/Robotics, Design & Drafting / 2D CAD, and 3D CAD. Students also reported an increased understanding of these subjects after their hands-on experience. This study highlights the effectiveness of PBL in bridging theory and practice in engineering education, and the importance of incorporating AI and multidisciplinary knowledge in robotics projects.

Fullsize Image
著者関連情報

この記事は最新の被引用情報を取得できません。

© 2026 Fuji Technology Press Ltd.

This article is licensed under a Creative Commons [Attribution-NoDerivatives 4.0 International] license (https://creativecommons.org/licenses/by-nd/4.0/).
The journal is fully Open Access under Creative Commons licenses and all articles are free to access at JRM official website.
https://www.fujipress.jp/jrobomech/rb-about/#https://creativecommons.org/licenses/by-nd
前の記事 次の記事
feedback
Top