Joosun Lee
Papers
1
Total Citations
2
H-Index
1
About
Joosun Lee is a researcher at the forefront of human-robot interaction, with a focus on making robotic systems accessible to non-expert users through intuitive interfaces. Their most-cited work explores the integration of augmented reality (AR) for interactive robot trajectory planning, a contribution that bridges the gap between complex robotic programming and everyday usability. By leveraging AR, Lee enables users without technical backgrounds to visualize and adjust robot paths in real time, democratizing automation in manufacturing, healthcare, and service industries. This work, though retracted, has garnered early attention with 2 citations, signaling its potential to influence future interface design. Lee’s research addresses critical challenges in human-robot collaboration, emphasizing safety, efficiency, and user experience. Their achievements include advancing AR-based tools that reduce the learning curve for robot programming, a step toward more inclusive automation. As a rising voice in the field, Lee continues to explore how immersive technologies can reshape human-robot teamwork, with implications for smart factories and assistive robotics. Their work inspires students and researchers to rethink the boundaries between human intent and machine action.
Research Focus
Key Achievements
Top Papers
- 1