Kazuya Kanaishi
Papers
2
Total Citations
11
H-Index
2
About
Kazuya Kanaishi is a researcher advancing the frontier of remote robotic cooperation through intelligent network control. His primary focus lies in the intersection of telerobotics, haptic feedback, and Quality of Service (QoS) management. Kanaishi’s major contribution is the development and experimental validation of the **adaptive Δ-causality control**, a novel method for synchronizing master-slave robot systems over unreliable networks. This technique dynamically adjusts how position and force data are transmitted, enabling stable and intuitive cooperation between geographically separated robots—even when performing delicate tasks like carrying an object together. His work demonstrates that by treating network latency as a controllable variable, remote robot teams can achieve the precise force feedback essential for complex collaborative manipulation. While his most-cited paper (7 citations) experimentally proves the efficacy of this adaptive control, his subsequent research (4 citations) further quantifies how explicit QoS control enhances system stability and task performance. Kanaishi’s contributions are particularly notable for bridging the gap between theoretical network control and practical, real-world teleoperation, offering a scalable solution for future applications in remote surgery, hazardous environment maintenance, and space-based robotics.
Research Focus
Key Achievements
Top Papers
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