Shin‐Chen Hu

National Cheng Kung University

Papers

3

Total Citations

58

H-Index

3

About

Shin-Chen Hu is a control systems researcher whose work centers on bilateral teleoperation, event-triggered control, and adaptive control strategies for networked robotic systems. His research addresses one of the most persistent challenges in remote robotics: enabling reliable, efficient communication between human operators and slave robots operating in distant or hazardous environments. Hu's most significant contributions lie in developing event-driven communication frameworks for bilateral teleoperation systems, moving beyond the conventional reliance on continuous or fixed-rate data transmission. His 2019 papers — "Nonlinear bilateral teleoperators under event-driven communication with constant time delays" (25 citations) and "Event-triggered control for adaptive bilateral teleoperators with communication delays" (24 citations) — demonstrate how event-triggered approaches can maintain robust position tracking and system passivity while significantly reducing network bandwidth demands. His earlier 2016 work (9 citations) laid foundational groundwork by integrating scattering transformation with adaptive control to handle unreliable networks. By tackling the dual challenges of communication delays and network inefficiency, Hu's research has meaningful implications for telemedicine, hazardous environment inspection, and space robotics — domains where dependable, bandwidth-conscious remote manipulation is critical. His growing citation record reflects increasing recognition of event-triggered teleoperation as an essential paradigm in modern robotics control.

Research Focus

Key Achievements

3
H-Index
3
Papers
58
Total Citations
19
Avg Citations/Paper
🏆 Most Cited Paper
Nonlinear bilateral teleoperators under event‐driven communication with constant time delays
25 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: National Cheng Kung University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago