Hyung-O Kim
Papers
1
Total Citations
4
H-Index
1
About
Hyung-O Kim is a researcher in human-robot interaction and computer vision, with a focus on enabling intuitive communication between humans and robots. His key contributions center on gesture-based object extraction, particularly in developing methods that allow robots to identify and learn about unknown objects through natural pointing gestures. In his notable 2008 work, "Pointing gesture-based unknown object extraction for learning objects with robot," Kim introduced a two-stage approach that first detects the operator’s face and then estimates the pointing direction to extract the targeted object. This foundational research, cited 4 times, lays groundwork for more natural robotic learning from human interaction. Kim’s work addresses the critical challenge of bridging human intent and robotic perception, contributing to the broader field of interactive machine learning. His research has implications for assistive robotics, where seamless human-robot collaboration is essential, and continues to influence studies on gesture recognition and object extraction in dynamic environments.
Research Focus
Key Achievements
Top Papers
- 1