Ikuo Kawahara

Kansai University

Papers

1

Total Citations

5

H-Index

1

About

Ikuo Kawahara is a robotics researcher whose work centers on tactile sensing and soft robotics, with a particular focus on enhancing robot hand dexterity through innovative sensor design. His major contribution lies in the development of a tactile sensor that leverages high-photoelasticity polyurethane to measure both normal and tangential forces simultaneously—a critical capability for delicate manipulation tasks. This sensor, detailed in his most-cited 2022 paper (5 citations), integrates three photodiodes and three white LED light sources within a multi-elastic-material structure, enabling precise force detection through photoelasticity. While his citation count is still growing, Kawahara’s work represents a practical step toward more sensitive, durable, and low-cost tactile feedback systems for robotic hands. His research bridges materials science and mechatronics, offering a promising alternative to conventional capacitive or piezoresistive sensors. For students and researchers in robotics, Kawahara’s approach demonstrates how clever use of optical phenomena can solve real-world sensing challenges, paving the way for safer human-robot interaction and more capable prosthetic or industrial grippers.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Application of High-Photoelasticity Polyurethane to Tactile Sensor for Robot Hands
5 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 6
🏛 Institutions: Kansai University

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago