Papers
10
Total Citations
84
H-Index
5
About
Byung-In Kim is a leading researcher in industrial automation and robotics, with a focus on optimizing warehouse logistics, manufacturing systems, and robotic manipulation. His early work on clustering-based order-picking sequences for automated warehouses (39 citations) laid the groundwork for efficient material handling, while his intelligent agent-based framework for warehouse control (14 citations) advanced decentralized scheduling and coordination. Kim has also made significant contributions to shipbuilding automation, notably in welding gantry robot scheduling (2022), and to human-robot hybrid manufacturing, including the design of dual-arm robot manipulators and high-speed parallel robots for solar cell handling. His research on modular actuation and joint torque sensors has enhanced robot safety and precision for collaborative environments. With over 80 citations across his most-cited works, Kim’s impact spans both theoretical frameworks and practical implementations, including a high-speed parallel robot achieving 4.5 m/s with 13G acceleration. His work continues to shape the future of automated and hybrid manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1Clustering-based order-picking sequence algorithm for an automated warehouse39 citations · 2003
- 2Intelligent agent based framework for warehouse control14 citations · 2004
- 3Novel method for welding gantry robot scheduling at shipyards8 citations · 2022
- 4
- 5Design and control of high-speed parallel robot5 citations · 2012
- 6Design of an modular actuation module for a dual arm robot manipulator3 citations · 2012
- 7Performance test equipment design of a 1 DOF joint torque sensor3 citations · 2013
- 8
- 9Development of Industrial High-Speed Transfer Parallel Robot2 citations · 2013
- 10Variable Passive Compliance Device for Robotic Assembly2 citations · 2016