Papers
1
Total Citations
3
H-Index
1
About
Seung Woo Nam is a researcher focused on advancing human-robot interaction, particularly in the domain of collaborative robotics. His work centers on the critical intersection of usability engineering and robotic manipulation, aiming to make industrial robots more accessible and safer for human operators. Nam’s most notable contribution is his study on the usability evaluation of teaching pendants for collaborative robot manipulators, a key interface for programming and controlling these machines. By systematically assessing the design and functionality of these pendants, his research provides actionable insights for improving operator efficiency, reducing error rates, and enhancing overall user experience in manufacturing settings. While his 2021 paper has garnered 3 citations, its impact lies in addressing a practical, often-overlooked aspect of robotics—the human-machine interface—that is vital for the widespread adoption of collaborative systems. Nam’s work is particularly relevant for students and researchers in human factors engineering, robotics, and industrial design, offering a foundation for further studies on intuitive robot control and safety protocols.
Research Focus
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Top Papers
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