Papers
1
Total Citations
53
H-Index
1
About
Yusuhn Kang is a leading researcher in robotics and networked control systems, with a primary focus on robust control strategies for robotic manipulators operating under uncertain conditions. His most-cited work, "Robust Control of Motion/Force for Robotic Manipulators With Random Time Delays" (2012, 53 citations), addresses a critical challenge in remote robotics: the destabilizing effects of random network-induced delays in both sensor-to-controller and controller-to-actuator communication. By developing a robust control framework that explicitly accounts for these stochastic delays, Kang has advanced the practical deployment of teleoperated and autonomous robotic systems in environments where reliable real-time communication is not guaranteed. His contributions are particularly impactful for applications in hazardous material handling, remote surgery, and industrial automation, where precise motion and force control are essential despite network uncertainties. Kang’s work bridges the gap between theoretical control theory and real-world robotic implementation, offering engineers a systematic approach to maintaining stability and performance under unpredictable network conditions. His research continues to influence the design of resilient robotic systems, making him a notable figure in the field of networked robotics and control.
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Top Papers
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