Yeeun Kim

Sungkyunkwan University, Ewha Womans University

Papers

Total Citations

H-Index

About

Yeeun Kim is a researcher at the forefront of safe human-robot interaction (HRI), with a primary focus on developing intelligent sensing systems that enable robots to work safely alongside people. Her most impactful work, the 2021 paper "Real-Time Obstacle Avoidance Using Dual-Type Proximity Sensor for Safe Human-Robot Interaction" (47 citations), introduces a novel dual-type proximity sensor and control strategy that allows robot manipulators to detect and avoid obstacles in real time—a critical requirement for practical HRI. Building on this, her 2023 paper on a multi-functional safety sensor (18 citations) further advances the field by coupling capacitive and inductive measurement techniques for enhanced physical interaction safety. Kim also explores the intersection of robotics and design, as seen in her work on "Intelligent Product Design" (2015), where she categorizes robots into human-oriented and product-oriented types, framing robots as intelligent products. Her contributions are essential for making collaborative robotics safer and more practical in industrial and domestic settings, and her sensor innovations are paving the way for more intuitive and trustworthy human-robot collaboration.