Papers
1
Total Citations
5
H-Index
1
About
Wooyoung Go is a researcher in robotics and artificial intelligence, with a focus on evolutionary computation and autonomous systems. His most notable contribution is the development of an automatic color detection method for the MiroSOT (Micro-Robot World Cup Soccer Tournament) using a quantum-inspired evolutionary algorithm. This work, published in 2013, has garnered 5 citations and represents an innovative intersection of quantum computing principles and evolutionary optimization for real-time robotic vision. By applying a quantum-inspired approach to color segmentation, Go addressed a critical challenge in multi-robot systems—enabling faster and more accurate environmental perception for small-scale soccer robots. His research highlights the potential of hybrid algorithms to enhance autonomous decision-making in constrained, dynamic environments. While his citation count is modest, the specificity and technical depth of his work demonstrate a commitment to advancing practical solutions in robotics. Go’s contributions are particularly relevant for researchers exploring evolutionary algorithms, computer vision, and multi-agent coordination in competitive robotics.
Research Focus
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Top Papers
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