Yeon Gil Kim
Papers
1
Total Citations
2
H-Index
1
About
Yeon Gil Kim is a researcher focused on advancing logistics automation and robotics, with a particular emphasis on the design and simulation of systems for heavy-load transfer. His work addresses critical challenges in modern logistics, including automation efficiency, unmanned technology, and environmentally friendly solutions. Kim’s most cited paper, “Simulation of design conditions of logistics robot transferring heavy load” (2017), which has garnered 2 citations, provides foundational insights into optimizing robotic systems for industrial logistics. This research contributes to the broader fields of city logistics and transportation automation, where the integration of robotics is essential for improving operational performance and sustainability. Kim’s contributions support the development of more efficient, automated logistics networks, highlighting the importance of simulation in designing robust robotic systems. His work is particularly relevant for researchers and students interested in the intersection of robotics, automation, and logistics, offering practical approaches to enhancing heavy-load transfer in real-world settings.
Research Focus
Key Achievements
Top Papers
- 1