Wonseok Choi

Pohang University of Science and Technology

Papers

Total Citations

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About

Wonseok Choi’s research lies at the intersection of robotics, computer vision, and intelligent systems, with a focus on creating autonomous machines that perceive and interact with their environments. His most cited work, “A neural network based retrainable framework for robust object recognition with application to mobile robotics” (2010, 26 citations), introduces a novel adaptive framework that allows robots to continuously learn and refine object recognition in real-world settings—a critical step toward more resilient and practical autonomous navigation. This contribution has informed subsequent developments in retrainable vision systems for mobile platforms. Choi also led the system architecture design for the intelligent building guide robot PHOPE (2009, 4 citations), an integrated service robot capable of face recognition, voice communication, and autonomous indoor navigation. PHOPE’s multi-modal software stack—combining GUI, database management, and sensor fusion—showcases Choi’s ability to bridge theoretical algorithms with deployable robotic systems. His work demonstrates a sustained commitment to making robots more perceptive, adaptable, and useful in everyday human environments, laying groundwork for future service robotics and human-robot interaction research.