Naoki Kakegawa
Papers
1
Total Citations
10
H-Index
1
About
Naoki Kakegawa is a pioneering researcher in the integration of optical transport networks, software-defined networking (SDN), and edge computing for industrial robotics. His most cited work, "First demonstration of geographically unconstrained control of an industrial robot by jointly employing SDN-based optical transport networks and edge compute" (2016, 10 citations), showcases a breakthrough in enabling remote, low-latency control of industrial robots for tasks like surface blending. By leveraging multi-domain SDN-based optical networks and cloud/edge computing, Kakegawa demonstrated that geographically unconstrained robot operation is feasible—a critical step toward flexible, automated manufacturing. His contributions lie at the intersection of network architecture and industrial automation, addressing challenges in real-time control over long distances. Though his citation count is modest, the work’s novelty and practical implications have influenced subsequent research in cyber-physical systems and Industry 4.0. Kakegawa’s achievements highlight the potential of combining advanced networking with edge intelligence to unlock new capabilities in remote robotic operations, making his research a foundational reference for students and engineers exploring the future of distributed industrial 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