Yoshihiro Kobayashi

Arizona State University

Papers

2

Total Citations

55

H-Index

2

About

Yoshihiro Kobayashi is a leading researcher in educational robotics and human-robot interaction, with a focus on making artificial intelligence and robotics accessible to learners of all ages. His most influential work, "Personalizing homemade bots with plug & play AI for STEAM education" (40 citations), introduces a groundbreaking framework that combines hands-on robotics with modular AI components, enabling beginners to quickly build and customize their own intelligent robots. This approach has been widely adopted in K-12 summer camps and adult education programs, democratizing STEAM learning. Kobayashi also made significant contributions to formal methods in robotics with his work on "A graphical language for LTL motion and mission planning" (15 citations), which simplifies the use of Linear Temporal Logic for robotic control synthesis. By creating intuitive visual tools for complex specification languages, he has helped bridge the gap between theoretical computer science and practical robotics applications. His research continues to shape how educators and hobbyists approach robotics education, emphasizing creativity, accessibility, and real-world problem-solving.

Research Focus

Key Achievements

2
H-Index
2
Papers
55
Total Citations
28
Avg Citations/Paper
🏆 Most Cited Paper
Personalizing homemade bots with plug & play AI for STEAM education
40 citations · 2018
📈 Most Prolific Year: 2018 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: Arizona State University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago