Taeuk Kang

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About

Taeuk Kang is a researcher specializing in robotics and computer vision, with a particular focus on bio-inspired systems and underwater automation. His most notable contribution is the development of a color detection algorithm for fish robot position and swimming control, published in 2019. This work addresses the challenge of precise navigation in aquatic environments by using color-based tracking to determine each robot’s location, enabling coordinated swimming while avoiding interference from other fish in the aquarium. The algorithm enhances the autonomy of biomimetic robots, allowing them to maintain stable positioning and adapt to dynamic surroundings. With 4 citations, this paper has laid foundational groundwork for further exploration in underwater robotics and multi-agent systems. Kang’s research bridges the gap between computer vision and robotic control, offering practical solutions for real-world applications in marine exploration and environmental monitoring. His work demonstrates a keen ability to integrate sensing and control in complex, fluid environments, marking him as an emerging contributor to the field of intelligent robotics.