Project-Based Learning in Robotics: Integrating Object Detection AI and Mechatronics in Undergraduate Engineering Education

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Authors: Kazuteru TOBITA, Editorial Office
Cited by: 1
References: 19

Abstract

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.

Fields of Study & Subjects

Educational Robotics and Engineering Problem and Project Based Learning Mechatronics Education and Applications

Publication details

Journal / source
Journal of Robotics and Mechatronics
Publisher
Fuji Technology Press Ltd.
Volume
38
Issue
1
Pages
35–46
Publication date
19 February 2026
Language
EN