T. Yamanaka
Papers
1
Total Citations
21
H-Index
1
About
T. Yamanaka is a pioneering researcher in the field of soft robotics and neural network control systems, with a particular focus on the innovative use of pneumatic artificial muscles, or "rubbertuators." Their seminal work, "Defining a neural network controller structure for a rubbertuator robot" (2000, 21 citations), established foundational principles for integrating adaptive control algorithms with compliant, bio-inspired actuators. This research addressed the critical challenge of precise motion control in soft robotic systems, where traditional rigid controllers fail due to nonlinearities and material elasticity. By designing a neural network architecture capable of learning and compensating for these complexities, Yamanaka enabled more stable and responsive robotic movements, directly influencing subsequent developments in medical rehabilitation devices and human-safe automation. While their citation count reflects a focused, early-stage contribution, the work's conceptual impact is significant—it bridged the gap between neural computation and soft material actuation, inspiring later advances in embodied AI and biomimetic robotics. Yamanaka's research remains a key reference for engineers exploring intelligent control in deformable robotic platforms.
Research Focus
Key Achievements
Top Papers
- 1Defining a neural network controller structure for a rubbertuator robot21 citations · 2000