Goshi Isshiki
Papers
1
Total Citations
4
H-Index
1
About
Goshi Isshiki is a researcher advancing the frontiers of high-precision motor control, a critical enabler for flexible, assistive robotics. His work focuses on developing novel sensing technologies that allow robots to perceive and interact with their environment with exceptional accuracy. Isshiki’s major contribution lies in the design and verification of ultra-high-resolution magnetic absolute encoders. By integrating an eccentric structure with a neural network, his approach dramatically improves the accuracy of angle and angular velocity measurements—the fundamental inputs for precise motor control. This innovation directly addresses the challenge of creating robots that can safely and effectively support people by accurately tracking their movements and the objects around them. While his most-cited work, "Verification of Ultra-High Resolution Magnetic Absolute Encoder Using Eccentric Structure and Neural Network" (2020), has garnered 4 citations, its significance is in laying the groundwork for a new class of compact, high-fidelity sensors. Isshiki’s research is a vital step toward realizing truly dexterous and responsive robotic systems for human assistance.
Research Focus
Key Achievements
Top Papers
- 1