Papers
2
Total Citations
5
H-Index
2
About
Daesub Yoon is a researcher focused on advancing autonomous and teleoperated systems for industrial material handling and robotics. His key research areas include autonomous mobile robotics, human-robot interaction, and networked control systems for industrial applications. Yoon’s major contributions center on improving safety and efficiency in material handling equipment—such as forklifts, AGVs, and cranes—through the design of two-wheeled operator tracing robots. His 2019 work on the "Operator Tracing Robot for Material Handling" (3 citations) demonstrates autonomous movement technology that can follow human operators, reducing accident risks. In 2020, he extended this with "Remote Two-wheel Robot control using OPC-UA" (2 citations), implementing a networked system where two robots share real-time location and heading data via OPC-UA for lightweight communication. While his citation counts are modest, Yoon’s work is notable for bridging practical industrial needs with emerging robotics and IoT standards, offering a foundation for safer, more responsive automated guided vehicles. His research is particularly relevant for students and engineers exploring human-robot collaboration in logistics and manufacturing environments.
Research Focus
Key Achievements
Top Papers
- 1Design of the Operator Tracing Robot for Material Handling3 citations · 2019
- 2Remote Two-wheel Robot control using OPC-UA2 citations · 2020