Shogo Yoshida
Papers
1
Total Citations
4
H-Index
1
About
Shogo Yoshida is a robotics researcher specializing in the modeling and control of soft pneumatic actuators, particularly McKibben-type artificial muscles. His most cited work, "Verification of linear approximation model of McKibben Pneumatic Actuator" (2019, 4 citations), addresses a critical challenge in soft robotics: the complex, nonlinear output characteristics of McKibben pneumatic actuators (MPAs) that hinder precise motion analysis. Yoshida’s key contribution lies in developing and experimentally validating a simplified linear approximation model for MPAs, enabling more accessible dynamic motion control for robotic systems. This work bridges the gap between the widespread use of MPAs in compliant robots and the lack of tractable analytical frameworks for their behavior. By providing a practical modeling approach, Yoshida’s research supports advancements in rehabilitation devices, soft grippers, and bio-inspired robots. His work is foundational for researchers seeking to implement accurate yet computationally efficient control strategies in pneumatic actuation, demonstrating that even simplified models can yield meaningful performance in real-world robotic applications.
Research Focus
Key Achievements
Top Papers
- 1