Yoon Ho Choi
Papers
29
Total Citations
1,665
H-Index
16
About
Yoon Ho Choi is a prominent control systems researcher whose work has fundamentally advanced the field of intelligent and adaptive control for robotic systems. His research spans three interconnected domains: nonholonomic mobile robot control, flexible-joint robot dynamics, and neural network-based adaptive control strategies. Choi's most celebrated contributions include the development of adaptive neural sliding mode control for wheeled mobile robots, which has garnered 285 citations, and a simplified adaptive control approach for electrically driven mobile robots that accumulated 230 citations — both works addressing the critical challenge of model uncertainty and actuator dynamics that many prior researchers had neglected. His pioneering application of self-recurrent wavelet neural networks (SRWNNs) to dynamic surface control of flexible-joint robots, cited 172 times, introduced a powerful framework for handling complex nonlinear system behaviors. Beyond single-robot systems, Choi extended his expertise to multi-robot coordination, proposing leader-follower formation control methods that function even without full velocity information — a practically significant contribution to real-world robotics. His complete coverage navigation algorithm for cleaning robots, cited 151 times, demonstrates his breadth across both theoretical and applied robotics. With over 1,400 cumulative citations, Choi's body of work represents a cornerstone reference for researchers working on robust, intelligent robotic control.
Research Focus
Key Achievements
Top Papers
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- 5Complete Coverage Navigation of Cleaning Robots Using Triangular-Cell-Based Map151 citations · 2004
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- 8Adaptive formation control in absence of leader's velocity information69 citations · 2010
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- 10Output Feedback Dynamic Surface Control of Flexible-Joint Robots43 citations · 2008