Yeohun Yun
Papers
1
Total Citations
8
H-Index
1
About
Yeohun Yun is a robotics researcher whose work centers on human-robot interaction, teleoperation, and immersive control systems. His most cited paper, "Motion Recognition-Based Robot Arm Control System Using Head Mounted Display" (2020, 8 citations), introduces a novel remote monitoring system that leverages head mounted displays (HMDs) to enhance user immersion and situational awareness. By integrating motion recognition with HMD technology, Yun enables more intuitive and convenient control of robot arms, allowing users to adjust camera perspectives seamlessly while manipulating robotic systems. This contribution addresses key challenges in teleoperation—bridging the gap between human intent and robotic action through natural, embodied interfaces. Yun’s work is particularly impactful for applications in hazardous environments, remote surgery, and assistive robotics, where real-time, immersive control is critical. His research demonstrates a clear trajectory toward making robotic systems more accessible and responsive, with potential to transform how operators interact with machines in complex, dynamic settings.
Research Focus
Key Achievements
Top Papers
- 1