Papers
2
Total Citations
11
H-Index
2
About
Ki-Kap Kim is a pioneering researcher in the field of robotic kinematics and control, with a specialized focus on kinematically redundant manipulators. His work addresses fundamental challenges in robot motion planning and inverse kinematics, aiming to improve both the efficiency and dynamic performance of robotic systems. Kim introduced the concept of the **Moving Acceleration Radius (MAR)** as a novel local performance index for quantifying the dynamic uniformity of redundant robots. This contribution, detailed in his most-cited paper (7 citations), enables a simple sequential algorithm for trajectory planning by maximizing MAR, thereby enhancing a robot’s ability to handle high-speed, acceleration-sensitive tasks. Additionally, Kim advanced practical inverse kinematics by leveraging **neural networks**, demonstrating that accurate joint angle solutions could be obtained in significantly shorter computation times compared to traditional methods like resolved motion rate control. Although his citation counts are modest, Kim’s work represents an early and insightful integration of neural computation into robotic control, offering a pragmatic alternative to complex analytical approaches. His research remains relevant for engineers and students exploring efficient, real-time motion planning for redundant robots in manufacturing and automation.
Research Focus
Key Achievements
Top Papers
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