Papers
12
Total Citations
892
H-Index
7
About
Jaemin Baek is a control systems researcher whose work centers on advanced motion control for robot manipulators, with particular expertise in sliding-mode control, time-delay control, and adaptive control methodologies. His research addresses one of robotics' most persistent challenges: achieving precise trajectory tracking in the presence of complex nonlinear dynamics, uncertainties, and disturbances, without requiring detailed system models. Baek's most influential contribution is his development of adaptive sliding-mode control (ASMC) schemes that intelligently tune switching gains to minimize chattering—a long-standing drawback of classical sliding-mode controllers. His 2016 paper introducing an ASMC framework incorporating time-delay estimation has accumulated over 520 citations, establishing him as a significant voice in model-free robot control. This work spawned a productive research thread, yielding practical adaptive time-delay controllers, widely adaptive variants, and nonsingular terminal sliding-mode designs across subsequent years, collectively accumulating nearly 900 citations. More recently, Baek has expanded into data-driven approaches, exploring neural network-based dynamic model learning for manipulators. Across his body of work, he consistently bridges theoretical rigor with practical implementation, demonstrating experimental validation on real robotic platforms—making his contributions valuable to both control theorists and robotics engineers seeking deployable, high-performance solutions.
Research Focus
Key Achievements
Top Papers
- 1A New Adaptive Sliding-Mode Control Scheme for Application to Robot Manipulators524 citations · 2016
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