Takashi Mayahara

Tokai University

Papers

2

Total Citations

24

H-Index

2

About

Takashi Mayahara’s research centers on bio-inspired robotics, specifically the design and control of multi-degree-of-freedom (DOF) robotic joints using nonlinear elastic actuators. His major contribution is the development of the Strand-Muscle Actuator (StMA), a simple yet powerful mechanism that mimics biological muscle coordination to achieve simultaneous joint angle and stiffness control. By employing real-time optimization for redundant muscle coordination, Mayahara enabled robots to perform complex, flexible motions—such as those needed for dexterous manipulation or safe human-robot interaction—without relying on bulky, traditional hardware. His most-cited work, “Redundant muscle coordination of a multi-DOF robot joint by online optimization” (2007, 17 citations), demonstrates how StMA’s nonlinear elastic properties allow for antagonistic actuator arrangements that simplify control while enhancing adaptability. A follow-up study (2007, 7 citations) further refines this coordination method, highlighting its potential for robust, real-world applications. Mayahara’s achievements lie in bridging the gap between biological principles and practical robotic systems, offering a pathway toward more compliant, efficient, and human-safe machines. His work continues to inspire researchers in soft robotics and actuator design.

Research Focus

Key Achievements

2
H-Index
2
Papers
24
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Redundant muscle coordination of a multi-DOF robot joint by online optimization
17 citations · 2007
📈 Most Prolific Year: 2007 (2 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: Tokai University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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