Naoya Takahashi

Keio University

Papers

3

Total Citations

15

H-Index

3

About

Naoya Takahashi is a researcher specializing in human-robot interaction, intelligent application development, and educational robotics. His work centers on making advanced robotic systems accessible to non-expert users, particularly in classroom and instructional settings. Takahashi is best known for his contributions to PRINTEPS, an AI and service robot application development platform designed to empower end users — including teachers — to build sophisticated robot applications without deep technical expertise. The platform integrates knowledge-based reasoning, speech dialogue, image sensing, motion planning, and machine learning into a unified development environment. His most-cited work, "A Practical Teacher–Robot Collaboration Lesson Application Based on PRINTEPS" (2018, 9 citations), demonstrates real-world deployment of teaching assistant robots in educational contexts, bridging the gap between theoretical AI capabilities and practical classroom use. Subsequent publications exploring knowledge chunk reuse and collaborative design tools with teachers reflect his commitment to reducing development costs and broadening participation in robot application creation. Through his research, Takahashi has helped lay the groundwork for scalable, user-friendly educational robotics frameworks, making him a notable contributor to the growing field of intelligent human-machine collaboration in learning environments.

Research Focus

Key Achievements

3
H-Index
3
Papers
15
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
A Practical Teacher–Robot Collaboration Lesson Application Based on PRINTEPS
9 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 7
🏛 Institutions: Keio University

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago