Jae Hyeon Kim
Papers
1
Total Citations
3
H-Index
1
About
Jae Hyeon Kim is a researcher focused on advancing robotic manipulation through sensor fusion and grasping stability. His most cited work, "Application of a sensor fusion algorithm for improving grasping stability" (2015), integrates data from multiple sensors to enhance the reliability of robotic grippers, addressing a critical challenge in autonomous object handling. While his citation count is modest, this foundational study demonstrates his commitment to practical, real-world applications in robotics—particularly in improving dexterity and precision for industrial and service robots. Kim’s research bridges theoretical sensor algorithms and tangible robotic performance, offering insights for students and engineers working on adaptive control systems. His work underscores the importance of multi-modal sensing in enabling robots to interact safely and effectively with unstructured environments, a key step toward more autonomous and versatile robotic systems.
Research Focus
Key Achievements
Top Papers
- 1