Papers
1
Total Citations
3
H-Index
1
About
Mi Young Cho has made foundational contributions to human-robot interaction (HRI), with a particular focus on enhancing natural communication between users and service robots through advanced face recognition technologies. Her most cited work, "A New Approach for Face Recognition Performance Evaluation for Robot Using LED Monitor" (2014), addresses a critical challenge in robotics: enabling robots to reliably detect and recognize faces in real-world, dynamic environments. By proposing a novel evaluation method using LED monitors, Cho provided a systematic framework for assessing and improving face recognition performance—a key enabler for robots to deliver personalized, context-aware services. This work has garnered 3 citations, reflecting its niche but essential role in the HRI field. Cho’s research bridges computer vision and robotics, tackling practical obstacles such as varying lighting, viewing angles, and real-time processing constraints. Her contributions are particularly valuable for service robots in healthcare, hospitality, and domestic settings, where seamless user identification is paramount. Through her rigorous approach to performance evaluation, Cho has helped advance the reliability of robotic systems, paving the way for more intuitive and effective human-robot collaboration.
Research Focus
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Top Papers
- 1