Yonghyun Kwon

Papers

Total Citations

H-Index

About

Yonghyun Kwon is a researcher advancing the frontier of human-robot interaction (HRI), with a focus on intuitive, context-aware control systems. His most-cited work, "Command Feedback System Based on Context Awareness for Minimizing Control Error in Human-Robot Interaction" (2025), addresses a critical challenge in robotics: reducing errors when humans use natural interfaces like speech and gestures to command machines. Kwon’s system integrates context awareness—understanding the user’s environment and intent—to filter ambiguous commands and provide real-time feedback, significantly improving control accuracy. This work bridges artificial intelligence and robotics, making robot operation more accessible and reliable for non-experts. While his citation count is still growing, his contributions are timely, as the demand for seamless HRI expands in manufacturing, healthcare, and service robotics. Kwon’s research stands out for its practical focus on error minimization, a key hurdle in deploying autonomous systems. His approach promises to shape future interfaces where humans and robots collaborate more naturally and safely.