Tetta Kadokura
Papers
1
Total Citations
2
H-Index
1
About
Tetta Kadokura is a researcher at the forefront of soft robotics and assistive technologies, with a primary focus on pneumatically driven systems for human gait assistance. His work centers on the innovative use of Pneumatic Artificial Muscles (PAMs)—lightweight, compliant actuators that offer unique advantages for wearable robotics. Kadokura’s major contribution lies in demonstrating that PAMs can serve a dual role: not only as actuators but also as sensors. By analyzing internal pressure changes within these deformable bodies, he developed methods for posture estimation and gait phase detection through clustering pressure information. This approach enables more intuitive and responsive control of gait-assistive robots, reducing reliance on external sensors. His most cited paper, "Posture Estimation by Clustering Pressure Information and Control Implementation for Pneumatically Driven Gait-Assistive Robot" (2023), has garnered 2 citations and represents a key step toward practical, multi-actuator assistive devices that can be worn comfortably on the human body. Kadokura’s work is paving the way for softer, smarter, and more adaptable robotic systems for rehabilitation and mobility support.
Research Focus
Key Achievements
Top Papers
- 1