Noboru Yoshikane
Papers
2
Total Citations
13
H-Index
2
About
Noboru Yoshikane is a leading researcher in the integration of optical transport networks with software-defined networking (SDN) and cloud/edge computing. His work focuses on enabling geographically unconstrained control of industrial robots, a key challenge for advanced manufacturing and remote operations. Yoshikane’s most cited paper (2016, 10 citations) provides the first demonstration of remotely controlling an industrial robot for surface blending over multi-domain SDN-based optical networks, proving that cloud/edge computing can significantly enhance robot controllability. His subsequent review (2019, 3 citations) consolidates progress in SDN-enabled optical transport and edge computing, further highlighting the practical application of remote robot control. These contributions are foundational for the future of Industry 4.0, where low-latency, reliable connectivity is critical for automation. Yoshikane’s work bridges telecommunications and robotics, offering a blueprint for scalable, secure, and high-performance industrial systems. His research continues to influence the development of next-generation network architectures that support real-time, geographically distributed control.
Research Focus
Key Achievements
Top Papers
- 1First demonstration of geographically unconstrained control of an industrial robot by jointly employing SDN-based optical transport networks and edge compute10 citations · 2016
- 2