Kyungchan Son
Papers
4
Total Citations
14
H-Index
2
About
Kyungchan Son is a robotics researcher whose work focuses on tactile sensing, dexterous manipulation, and visual servoing for intelligent robotic systems. His key contributions span slip detection for robotic grippers, under-actuated anthropomorphic finger design, and feature-based visual servo control. In his most cited work, Son developed a high-performance multilayer-perceptron-based slip detection algorithm that uses only normal force data from tactile sensor arrays, enabling autonomous grasping of unknown objects—a critical capability for industrial and service robotics. He also advanced visual servoing by demonstrating how redundant features improve control accuracy, evaluated through the smallest singular value of the image Jacobian. Additionally, Son designed an under-actuated anthropomorphic robotic finger incorporating silicon rubber skin and series elastic actuators to reduce actuator count while maintaining compliant, precise control. His research, with papers accumulating citations from 2023 back to 2002, reflects sustained impact in sensor-based robotic control. Son’s work is particularly notable for integrating machine learning with tactile sensing to solve practical manipulation challenges, making his contributions valuable for students and researchers in robotics, automation, and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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