Kyo-Min Koo
Papers
1
Total Citations
6
H-Index
1
About
Kyo-Min Koo is a robotics researcher whose work focuses on human-robot interaction and motion control, particularly for humanoid systems. His most notable contribution, the 2013 paper "Motion Capture Based Dual Arm Control of a Humanoid Robot Using Kinect," has garnered 6 citations and demonstrates an innovative approach to bridging intuitive human gestures with robotic manipulation. By leveraging the Kinect sensor for real-time motion capture, Koo developed a framework that allows humanoid robots to mimic dual-arm movements, enabling more natural and dexterous task execution. This work addresses critical challenges in teleoperation and autonomous control, offering a cost-effective solution for programming complex bimanual actions. Koo’s research sits at the intersection of computer vision, control systems, and biomechanics, with implications for assistive robotics, manufacturing, and collaborative environments. While his citation count reflects a focused but impactful contribution, his methodology has influenced subsequent studies in gesture-based robot programming and sensor-driven control. Koo’s dedication to making humanoid robots more responsive and accessible underscores his role in advancing practical, human-centered robotics.
Research Focus
Key Achievements
Top Papers
- 1Motion Capture Based Dual Arm Control of a Humanoid Robot Using Kinect6 citations · 2013