Koki Arima
Papers
1
Total Citations
2
H-Index
1
About
Koki Arima is a researcher focused on advancing industrial automation through the integration of robotics and data-driven interfaces. His primary contributions lie in developing robotic systems that streamline production-line tasks, with a particular emphasis on articulated robot arms. Arima's most notable work, "Development of a hyper CLS data-based robotic interface for automation of production-line tasks using an articulated robot arm" (2022), introduces a novel approach to automating complex manufacturing processes by leveraging CLS (Continuous Line Scanning) data. This interface enhances the precision and efficiency of robotic arms, reducing human error and increasing throughput in industrial settings. While his citation count is currently modest at 2, the practical implications of his work are significant for the future of smart manufacturing and Industry 4.0. Arima's research bridges the gap between theoretical robotics and real-world application, offering a scalable solution for automating repetitive tasks. His contributions are particularly relevant for students and researchers exploring human-robot collaboration, sensor-based automation, and the optimization of production workflows. As the demand for intelligent manufacturing grows, Arima's work stands as a foundational step toward more adaptive and efficient robotic systems.
Research Focus
Key Achievements
Top Papers
- 1