Papers
11
Total Citations
61
H-Index
5
About
Dong-Hyung Kim is a robotics researcher whose work spans industrial automation, logistics, and intelligent systems. His primary research areas include robotic manipulation of deformable objects, autonomous navigation, and task intelligence for logistics and agriculture. Kim's most impactful contribution is his 2023 work on revolutionizing wire harness assembly using 3D vision for multiple wire-branch detection, which has garnered 19 citations. This addresses the longstanding challenge of automating the handling of thin, deformable wires—a task traditionally reliant on human labor. He also proposed a built-in-guide-rail type building façade cleaning robot with motion planning algorithms (8 citations), and developed geometric path tracking and obstacle avoidance methods for nonholonomic mobile robots (8 and 7 citations). His research extends to logistics, including automatic de-palletizing of parcels and unmanned transport robots for construction sites. Kim has also explored efficient path planning for high-DOF multibody systems using adaptive RRT. With over 50 citations across his top works, his contributions are advancing practical robotics solutions in manufacturing, maintenance, and material handling, demonstrating a clear focus on bridging perception, planning, and real-world deployment.
Research Focus
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Top Papers
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- 10Logistics and Delivery Robots in the 4th Industrial Revolution2 citations · 2019