Yoon-Jin Jeong
Papers
1
Total Citations
2
H-Index
1
About
Yoon-Jin Jeong is a pioneering researcher in human-robot interaction (HRI) and intelligent robotic systems, with a focus on integrating deep learning for assistive technologies. His most cited work, "Implementation of Voice Command-based Object Detection System for Wheeled Humanoid Robot Using Deep Learning" (2023), introduces an innovative HRI framework for the HUMIC wheeled humanoid robot, combining Kinect V2 sensors with mecanum wheel mobility. This system enables seamless voice-controlled object detection, advancing service robotics for everyday human environments. Jeong's research addresses the growing demand for socially interactive robots beyond industrial settings, bridging the gap between autonomous navigation and natural language interfaces. His contributions have garnered attention in the robotics community, with his work cited in studies exploring deep learning-driven robotic perception and human-robot collaboration. By developing practical, real-time interaction systems, Jeong is shaping the future of assistive robotics—creating machines that can understand, respond to, and physically navigate alongside humans in dynamic, unstructured spaces.
Research Focus
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Top Papers
- 1