Ryo Onoda
Papers
1
Total Citations
7
H-Index
1
About
Ryo Onoda is a researcher at the forefront of soft robotics and intelligent materials, with a particular focus on advancing force sensing technologies for nursing and welfare applications. His most-cited work, "Evaluation of Error and Sensitivity for Force Sensor Using Shape-Memory Polymer" (2018, 7 citations), addresses a critical challenge in robotic manipulation: the need for sensors that can accurately measure a wide range of forces when grasping and lifting objects. By leveraging shape-memory polymers, Onoda has developed innovative sensor designs that enhance both sensitivity and error reduction, enabling robots to interact more safely and precisely with their environment. This contribution is especially vital for assistive robotics, where reliable force feedback is essential for tasks such as patient handling and object transfer. Onoda’s research bridges materials science and mechanical engineering, offering practical solutions for next-generation robotic systems. His work is increasingly recognized as foundational for creating more adaptive and human-friendly robots, positioning him as a key contributor to the future of soft and assistive robotics.
Research Focus
Key Achievements
Top Papers
- 1