Yang Koo Lee

Electronics and Telecommunications Research Institute

Papers

Total Citations

H-Index

About

Yang Koo Lee is a robotics researcher focused on advancing autonomous material handling and networked robotic systems. His work centers on developing intelligent, two-wheeled robots to improve safety and efficiency in industrial environments, particularly for tasks like forklift and crane operation. In his most cited paper, "Design of the Operator Tracing Robot for Material Handling" (2019, 3 citations), Lee introduced a robot capable of autonomous movement to trace and assist human operators, directly addressing real-world safety and productivity challenges in logistics. He further explored real-time networked control in "Remote Two-wheel Robot control using OPC-UA" (2020, 2 citations), where he implemented a lightweight communication framework using OPC-UA to enable two robots to share location and heading data seamlessly. Though his citation counts are modest, Lee’s contributions are notable for their practical focus on bridging autonomous robotics with industrial material handling—a critical area for modern manufacturing and warehousing. His work exemplifies how targeted, application-driven research can lay groundwork for safer, more efficient human-robot collaboration in heavy industry.