Kijin An

Korea Institute of Science and Technology

Papers

Total Citations

H-Index

About

Kijin An’s research focuses on human-robot interaction, perception sensor networks, and multi-user service coordination. Their work addresses critical challenges in enabling robots to perceive, track, and serve humans in dynamic environments. In their most-cited paper (6 citations), An developed a perception sensor network (PSN) system that fuses data from multiple Kinect sensors and pan-tilt-zoom cameras for seamless human tracking and identification. This work advanced automated human-aware robotics by improving sensor fusion accuracy. Another notable contribution (4 citations) introduced a service-scheduling scheme for dialog-based robots, enabling simultaneous service delivery to multiple users by managing and prioritizing user intentions—a key step toward practical multi-user service robots. An also tackled the specific problem of low-body-part detection using RGB-D cameras (3 citations), recognizing that robots are often shorter than humans and therefore require robust perception of lower body regions for effective interaction. Collectively, An’s work demonstrates a systematic approach to making robots more perceptive, responsive, and capable of handling real-world human environments.