Jongwon Yun
Papers
1
Total Citations
24
H-Index
1
About
Jongwon Yun is a researcher whose work lies at the intersection of robotics, human-robot interaction, and advanced manufacturing technologies. His most cited paper, "Augmented reality based teaching pendant for industrial robot" (2012, 24 citations), addresses a critical bottleneck in industrial automation: the cumbersome and unintuitive programming of robots using traditional teach pendants. By integrating augmented reality into the robot teaching process, Yun proposed a more intuitive, visual, and efficient method for operators to program and control industrial robots remotely. This contribution not only enhances accessibility for non-expert users but also reduces setup time in manufacturing environments. While his citation count reflects a focused, emerging impact, the work is notable for bridging the gap between cutting-edge AR interfaces and practical industrial applications. Yun’s research is particularly valuable for students and engineers seeking to modernize human-robot collaboration, offering a glimpse into how immersive technologies can democratize robot programming and accelerate the adoption of flexible automation in smart factories.
Research Focus
Key Achievements
Top Papers
- 1Augmented reality based teaching pendant for industrial robot24 citations · 2012