JiGwan Park

Korea Institute of Science and Technology

Papers

Total Citations

H-Index

About

JiGwan Park is a robotics researcher whose work centers on human-robot interaction, perception sensor networks, and autonomous mobile robot systems. His research addresses the critical challenge of enabling robots to reliably perceive and interact with humans in dynamic environments. Park’s most cited paper, “Dispensing materials of mobile robot cooperating with perception sensor network” (2014, 6 citations), introduces a fusion method for seamless human tracking across multiple Kinect sensors, using pan-tilt-zoom cameras for identification. This work demonstrates his contribution to developing robust, multi-sensor perception systems that allow mobile robots to autonomously track and serve humans. In a related study, “Low-Body-Part Detection using RGB-D camera” (2015, 3 citations), Park tackles a practical issue in human-robot interaction: because robots are often shorter than people, their cameras naturally capture lower body parts. He proposes a method for reliable detection using RGB-D data, improving robot perception in real-world service scenarios. While his citation counts are modest, Park’s work is notable for addressing specific, real-world constraints in robotic perception—such as camera placement and multi-sensor fusion—that are essential for deploying interactive service robots in human environments.