Papers
24
Total Citations
361
H-Index
10
About
Seung-Hwan Choi is a leading researcher at the intersection of evolutionary multiobjective optimization, robotics, and intelligent systems. His pioneering work on preference-based solution selection algorithms for evolutionary multiobjective optimization, with over 100 citations, has provided a critical framework for decision-making in complex real-world applications where multiple conflicting objectives must be balanced. Choi’s research extends deeply into educational robotics, where his work on multiobjective population-based navigation for robot soccer systems has become a cornerstone for teaching computational intelligence in mobile robotics. He has also made significant contributions to cyber-physical robot systems, developing modular architectures that enable independent development and replacement of hardware and software components. His recent work on anomaly detection using graph convolutional networks and variational autoencoders for industrial robot systems demonstrates his continued innovation in applying deep learning to real-world challenges. With over 300 total citations across his publications, Choi’s research has shaped how robots perceive, navigate, and interact with their environments, from pet care applications to ubiquitous robot systems that integrate software and mobile robots through sophisticated middleware architectures.
Research Focus
Key Achievements
Top Papers
- 1
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- 3Intelligence Technology for Robots That Think [Application Notes]34 citations · 2013
- 4Incorporation of a Software Robot anda Mobile Robot Using a Middle Layer22 citations · 2007
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- 8Animal-Robot Interaction for pet caring11 citations · 2009
- 9
- 10EKF Based Outdoor Positioning System using Multiple GPS Receivers11 citations · 2013