Papers
37
Total Citations
650
H-Index
12
About
Hyo-Sung Ahn is a leading figure in robotics and control systems, whose work spans iterative learning control, bilateral teleoperation, and multi-agent formation control. His seminal paper on "Iterative Learning Control: Robustness and Monotonic Convergence for Interval Systems" (2010) has garnered over 229 citations, establishing foundational principles for ensuring stability in systems with parameter uncertainties. Ahn has made significant contributions to mobile robot localization, developing discrete-time \(H_{\infty}\) filtering techniques that integrate wireless sensor networks and inertial measurement units to achieve robust positioning even under sensor failure, as detailed in his highly cited 2012 and 2014 papers. In teleoperation, he has advanced controller designs that guarantee stability under time-varying delays, data losses, and input saturation, with applications including tele-matched surgery robots. His work on bearing-only control of directed cycle formations (2020) achieved almost global convergence, demonstrated through hardware implementation. Ahn also pioneered the concept of a ubiquitous robotic space, integrating physical, semantic, and virtual environments for robotic services. With over 20 papers cited more than 20 times each, his research continues to shape the fields of robust control, networked robotics, and autonomous systems.
Research Focus
Key Achievements
Top Papers
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- 5Controller designs for bilateral teleoperation with input saturation27 citations · 2014
- 6Design and Implementation of a Ubiquitous Robotic Space25 citations · 2009
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- 9Design and control of tele-matched surgery robot23 citations · 2014
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