Yutaka Ishibashi
Papers
37
Total Citations
250
H-Index
8
About
Yutaka Ishibashi is a prominent researcher whose work sits at the intersection of haptics, remote robotics, and networked control systems. His research primarily focuses on improving the operability, stability, and quality of experience (QoE) in teleoperation systems — particularly remote robot control enhanced with force feedback. Ishibashi has made significant contributions to solving one of the most persistent challenges in haptic communication: maintaining stable and responsive bilateral control despite network delays and transmission imperfections. Among his most influential work is his 2019 survey on haptic data transmission over 5G networks (28 citations), which helped establish a foundational framework for integrating the sense of touch into next-generation internet communication. His research on wave filters and phase control filters for stabilization (26 citations) has directly advanced the reliability of real-world teleoperation. He has also pioneered methods for cooperative remote robot systems, addressing force control in multi-arm object manipulation tasks. More recently, Ishibashi has explored the application of artificial intelligence and neural networks to QoS control in networked robot systems, reflecting his forward-looking approach to the field. With a growing body of work accumulating over 150 citations, his research is shaping the future of tactile internet and intelligent remote robotics.
Research Focus
Key Achievements
Top Papers
- 1Improvement of operability in remote robot control with force feedback29 citations · 2015
- 2A Survey on Haptic Data Over 5G Networks28 citations · 2019
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- 9Stabilization of bilateral control in remote robot system8 citations · 2017
- 10QoS Control in Remote Robot Operation with Force Feedback8 citations · 2021