Takuya Kawamura

Gifu University

Papers

16

Total Citations

135

H-Index

7

About

Takuya Kawamura is a robotics researcher whose work bridges tactile sensing, teleoperation, and human-machine interaction, with a particular focus on enabling robots to perceive and manipulate their physical environment with human-like sensitivity. His most influential contributions center on the development of advanced tactile sensor systems for robotic hands. Notably, his 2013 work on a hybrid tactile sensor system — incorporating Carbon Micro-Coil technology to simultaneously measure slip, gripping force, and material deformation — has garnered 24 citations and represents a significant step toward adaptive robotic grasping. Complementing this, his biomimetically inspired surface roughness recognition system (2005, 23 citations) modeled human neuron discharge behavior to replicate tactile discrimination in machines. Kawamura has also made substantial contributions to construction telerobotics, developing master-slave control systems that integrate visual, auditory, and force feedback to support operators in hazardous post-disaster environments. His work on slope shaping assistance and virtual reality-enhanced teleoperation demonstrates a consistent drive to make remote construction robots safer and more intuitive. Collectively, his research addresses a critical challenge in modern robotics: giving machines the sensory intelligence needed to operate effectively in complex, real-world conditions.

Research Focus

Key Achievements

7
H-Index
16
Papers
135
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Measurement of Slip, Force and Deformation Using Hybrid Tactile Sensor System for Robot Hand Gripping an Object
24 citations · 2013
📈 Most Prolific Year: 2012 (5 Papers)
🤝 Key Collaborators: 20
🏛 Institutions: Gifu University

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago