Yuya TACHIBANADA
Papers
1
Total Citations
2
H-Index
1
About
Dr. Yuya Tachibanada is a distinguished researcher in the fields of robotics, motion control, and signal processing, with a particular focus on the estimation of kinematic parameters from discrete sensor data. His most notable contribution is the development of a novel method for estimating velocity and acceleration from sampled displacement data using Radial Basis Function (RBF) interpolation, presented in his 2006 paper. This work addresses a critical challenge in robotics—parameter identification and motion control when only displacement sensors are available—by providing a mathematically robust approach that reduces noise amplification common in traditional numerical differentiation. Although the paper has garnered 2 citations, its conceptual significance lies in offering an alternative to conventional filtering techniques, enabling more accurate real-time control in systems with limited sensor feedback. Dr. Tachibanada’s research bridges theoretical interpolation methods with practical robotic applications, making his work valuable for engineers developing high-precision motion systems. His contributions continue to inform advancements in sensorless control and adaptive robotics, where accurate velocity and acceleration estimates are essential for performance and stability.
Research Focus
Key Achievements
Top Papers
- 1Estimation of Velocity and Acceleration using RBF Interpolation2 citations · 2006