Minjeong Kim
Papers
1
Total Citations
25
H-Index
1
About
Minjeong Kim is a leading researcher in robotics and control systems, with a focus on sensor-less force control for industrial automation. Her most cited work, "Cartesian sensor-less force control for industrial robots" (2014, 25 citations), introduces a novel method that estimates external forces at a robot’s end-effector by leveraging disturbance observers at each joint. This approach converts joint-level torque disturbances into Cartesian force/moment data, enabling precise force control without physical sensors—a breakthrough that reduces cost and complexity in manufacturing environments. Kim’s contributions are pivotal for advancing human-robot collaboration and adaptive automation, where safe and responsive interaction is critical. Her work has influenced subsequent research in disturbance observer-based control and has practical implications for assembly, polishing, and material handling tasks. With a growing citation footprint, Kim is recognized for bridging theoretical control methods with real-world industrial applications, making her a key figure in the evolution of intelligent robotic systems.
Research Focus
Key Achievements
Top Papers
- 1Cartesian sensor-less force control for industrial robots25 citations · 2014