Noh
Papers
1
Total Citations
3
H-Index
1
About
Noh is a researcher in robotics and human-machine interaction, with a focus on haptic feedback systems for mobile robot control. His most cited work, "Accurate velocity control based on the distance of a mobile robot and obstacle using a haptic joystick" (2012), introduces a novel approach to teleoperation by integrating distance-based haptic cues into joystick control. This contribution addresses a critical challenge in remote robotics: enabling operators to intuitively sense and avoid obstacles without direct visual feedback. Though his citation count is modest at three, the work demonstrates a foundational step toward safer, more intuitive human-robot collaboration. Noh’s research bridges the gap between tactile perception and autonomous navigation, offering insights that could inform future developments in assistive robotics, telemedicine, or hazardous environment exploration. His emphasis on real-time velocity modulation through haptic interfaces highlights a practical, user-centered design philosophy. For students and researchers, Noh’s work serves as a concise example of how even low-cited papers can pioneer niche yet impactful ideas in the evolving field of human-robot interaction.
Research Focus
Key Achievements
Top Papers
- 1