Yuta Nakabayashi
Papers
2
Total Citations
6
H-Index
2
About
Yuta Nakabayashi is a researcher in factory automation (FA) and robotics, specializing in motion control and signal processing. His primary research focuses on developing signal limitation filters that ensure robotic systems operate safely within physical constraints. Nakabayashi's major contribution is the design of filter structures that automatically convert arbitrary input signals into trajectories respecting both velocity and acceleration limits—a critical requirement for preventing mechanical overload and ensuring equipment safety. His most-cited work, "Signal limitation filter to satisfy velocity and acceleration constraints for arbitrary input signals" (2017, 4 citations), introduces a novel filter structure that transforms step signals into trapezoidal waveforms, a common technique in FA to protect robots from excessive forces. This work has been cited by researchers in control systems and industrial automation, demonstrating its practical relevance. Nakabayashi's research addresses the fundamental challenge of balancing performance with physical safety in automated systems, making his contributions valuable for engineers designing reliable, constraint-aware motion controllers in manufacturing environments.
Research Focus
Key Achievements
Top Papers
- 1
- 2Signal Limitation Filter to Satisfy Velocity and Acceleration Limits2 citations · 2018