Kyoung Jae Park
Papers
1
Total Citations
4
H-Index
1
About
Kyoung Jae Park is a robotics researcher specializing in human-robot interaction, mobile robotics, and sensor-based perception systems. His most cited work, "People Tracking and Accompanying Algorithm for Mobile Robot Using Kinect Sensor and Extended Kalman Filter" (2014), has garnered 4 citations and represents a significant contribution to the field of autonomous robot navigation. In this paper, Park proposed a real-time algorithm that uses a Kinect sensor and Extended Kalman Filter (EKF) to estimate the relative position, angle, and velocity between a person and a mobile robot. His approach integrates HOG and SVM-based head and shoulder detection to identify people, then applies EKF to track their movement, enabling the robot to accompany a person in various motion modes within indoor environments. This work addresses the practical challenge of robots safely and naturally following humans, a key capability for service robots, assistive technologies, and collaborative manufacturing. Park's research bridges computer vision, sensor fusion, and control systems, demonstrating how affordable sensors like Kinect can be leveraged for robust human tracking. His contributions continue to influence the development of socially aware mobile robots that can operate alongside people in real-world settings.
Research Focus
Key Achievements
Top Papers
- 1