Yushi Koyasako
Papers
2
Total Citations
16
H-Index
1
About
Yushi Koyasako is a researcher at the forefront of industrial networking and edge computing, specializing in real-time motion control and network protocol softwarization. His work addresses critical challenges in the Internet of Things (IoT) and industrial automation, particularly the degradation of control performance caused by network delay fluctuations. In his highly cited 2020 paper, “Real-Time Motion Control Method Using Measured Delay Information on Access Edge Computing,” Koyasako proposed a novel method that leverages measured delay data to stabilize real-time control of devices like drones and industrial robots—a contribution that has garnered 15 citations and laid groundwork for resilient, latency-sensitive systems. More recently, his 2025 study, “Demonstration of the Coexistence of Multiple Industrial Ethernet by Protocol Softwarization in Edge Computing,” tackles the pressing issue of interoperability among diverse industrial protocols, offering a software-based solution to harmonize varying QoS requirements on shared networks. By enabling multiple industrial Ethernet standards to coexist seamlessly, Koyasako’s work promises to enhance flexibility and compatibility in smart manufacturing environments. His research is pivotal for students and engineers seeking to bridge the gap between edge computing and industrial automation, driving the next generation of adaptive, real-time networked systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2