Torn Yamamoto
Papers
1
Total Citations
4
H-Index
1
About
Torn Yamamoto is a robotics researcher specializing in the control of underactuated robotic systems, with a particular focus on bio-inspired, gymnastic-based control strategies. His work addresses the fundamental challenge of achieving stable, efficient motion in robots with fewer actuators than degrees of freedom—a problem central to advanced locomotion and manipulation. Yamamoto’s most cited paper (2017, 4 citations) introduces a novel evaluation function that balances input torques and energy change to systematically verify how varying the desired angle ratio influences control performance in an underactuated robot. This contribution provides a quantitative framework for optimizing controller parameters, offering insights into the delicate relationship between mechanical design and algorithmic control. While his citation count reflects a niche but growing field, Yamamoto’s approach stands out for its originality in applying gymnastic principles—typically associated with human athleticism—to robotic motion. His work is particularly relevant for researchers exploring energy-efficient, agile robots capable of dynamic tasks like jumping or flipping. Though early in his career, Yamamoto’s methodical verification of control trade-offs marks a thoughtful step toward more adaptive, human-like robotic performance.
Research Focus
Key Achievements
Top Papers
- 1