Yongsung Kwon

Papers

1

Total Citations

3

H-Index

1

About

Yongsung Kwon is a researcher focused on advancing industrial robotics through embedded systems and human-robot interaction. His work centers on developing practical control solutions for smart factory environments, particularly addressing the growing demand for intuitive robot operation in Industry 4.0 contexts. His most cited paper, "ROS based Embedded System using a Joystick for Industrial Robots Remote Control" (2021, 3 citations), presents an innovative approach to industrial robot control by combining joystick input with ROS (Robot Operating System) communication. The system intelligently processes user-defined end-effector coordinates, determining their feasibility and automatically converting unreachable positions to viable alternatives using inverse kinematics. This contribution addresses a critical challenge in industrial automation: making robot control accessible while maintaining precision. Kwon's work bridges the gap between complex robotic systems and practical operator needs, demonstrating how embedded systems can democratize industrial robot control. His research has implications for reducing training requirements and improving efficiency in manufacturing environments, contributing to the broader adoption of smart factory technologies.

Research Focus

Key Achievements

1
H-Index
1
Papers
3
Total Citations
3
Avg Citations/Paper
🏆 Most Cited Paper
ROS based Embedded System using a Joystick for Industrial Robots Remote Control
3 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 3

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
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