Papers

2

Total Citations

6

H-Index

2

About

Hiroshi Sugihara is a researcher whose work bridges robotics, education, and creative exploration. His primary research areas include soft robotics, human-robot interaction, and educational technology, with a particular focus on making robotics accessible and engaging for non-specialists. Sugihara’s most notable contribution is the development of a novel workshop design that combines inflatable soft robots with onomatopoeia—a creative, language-based approach—to foster hands-on exploration and creativity in children and students. This work, published in 2020, has garnered 4 citations and represents a significant step toward democratizing robotics education by lowering technical barriers. Earlier in his career, Sugihara contributed to partner robot control with the invention of the MOST (MOtion Sensing Technology) system, an inertial force sensing platform integrating angular rate sensors, acceleration sensors, and a DSP. This system, detailed in his 2006 paper with 2 citations, advanced the field of motion sensing for interactive robots. Sugihara’s work is characterized by its interdisciplinary nature, combining engineering with pedagogy and design to create inclusive, intuitive tools for learning and creativity. His research continues to inspire new approaches to robotics education, emphasizing playfulness and accessibility.

Research Focus

Key Achievements

2
H-Index
2
Papers
6
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
Workshop Design for Hands-on Exploration Using Soft Robotics and Onomatopoeia
4 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Tokyo University of Information Sciences, Toyota Motor Corporation (Switzerland)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago