Yoshio Kaji

Papers

Total Citations

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About

Yoshio Kaji is a dedicated researcher at the intersection of robotics education and assistive technology, with a focus on engineering pedagogy and human-centered robot design. His most cited work, "Educational Effect of Participation in Robot Competition on Experience-Based Learning" (2019, 13 citations), demonstrates his commitment to hands-on learning, using platforms like LEGO Mindstorms to teach robotics fundamentals—control, mechanisms, and programming—through competition-based curricula. This contribution highlights the value of experiential education in engineering. In parallel, Kaji addresses pressing societal challenges with his study "Development of a Care Robot Based on Needs Survey" (2021, 4 citations), which explores the gap between expectations for care robots and their limited adoption. By collaborating with care staff to integrate AI technology, he bridges technical development with real-world needs, aiming to support aging populations amid labor shortages. Kaji’s work reflects a thoughtful blend of educational innovation and socially impactful robotics, offering practical insights for students and researchers interested in how robots can both teach and serve.