Satoshi Yamanishi
Papers
1
Total Citations
6
H-Index
1
About
Satoshi Yamanishi is a researcher specializing in soft robotics and bio-inspired actuation systems, with a particular focus on pneumatic artificial muscles (PAMs) and their proprioceptive capabilities. His most cited work, "Development of an embedded sensor system for pneumatic artificial muscle proprioceptors" (2016), addresses a critical challenge in soft robotics: enabling artificial muscles to sense their own position and force without external sensors. By integrating flexible sensors directly into the muscle structure, Yamanishi’s approach enhances the control and adaptability of soft robotic systems, making them safer and more efficient for applications in prosthetics, rehabilitation, and human-robot interaction. Although his citation count is modest (6 citations for his top paper), his contribution is notable for its foundational role in advancing sensor integration within soft actuators—a key step toward more autonomous and responsive robotic systems. His work bridges mechanical design and embedded sensing, offering practical solutions for real-world deployment. Yamanishi’s research continues to inspire innovations in biomimetic robotics, where the fusion of sensing and actuation is essential for replicating natural movement.
Research Focus
Key Achievements
Top Papers
- 1