Akishi Takeyama
Papers
2
Total Citations
10
H-Index
2
About
Akishi Takeyama is a researcher specializing in precision sensing technologies, with a particular focus on magnetic encoder systems for industrial and robotic applications. Their work addresses a critical challenge in modern automation: achieving accurate, absolute angular position measurement without sacrificing environmental robustness or cost-effectiveness. Takeyama's most notable contribution, "Absolute Angle Calculation for Magnetic Encoder Based On Magnetic Flux Density Difference" (2021), has garnered 8 citations and presents an innovative approach to deriving absolute angular position from magnetic flux density measurements — offering a compelling alternative to traditional potentiometers while maintaining comparable detection speed and resolution. Building on this foundation, their subsequent work introduced an eccentric structural design combined with Long Short-Term Memory (LSTM) neural networks to recover absolute angle information in high-resolution multi-pole magnetic encoders, a problem that had previously limited the practical deployment of such systems. Together, these contributions reflect Takeyama's commitment to bridging classical sensor engineering with modern machine learning techniques. Their research holds meaningful implications for robotics and industrial automation, where precise motor control is fundamental to reliable performance. Though early in citation accumulation, Takeyama's work represents a promising and technically rigorous body of research in applied sensing and control systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2