Kyekyung Kim

About

Kyekyung Kim is a researcher specializing in computer vision, robotic systems, and intelligent manufacturing automation. Over more than a decade of prolific work, Kim has made significant contributions to the intersection of machine vision and industrial robotics, tackling persistent challenges such as object recognition under variable illumination, complex backgrounds, and diverse material properties. Kim's most influential contributions include pioneering object recognition frameworks for cell manufacturing systems and developing real-time pixel-wise segmentation methods using deep learning — work that directly addresses the demands of Industry 4.0 automation. His vision-based bin picking systems and dynamic object recognition approaches for robot manipulators have advanced the practical deployment of robotic pick-and-place operations in industrial settings, collectively garnering over 70 citations across his top works. Beyond manufacturing, Kim has demonstrated versatility through innovative projects such as an interactive robot photographer system utilizing stereo vision and gesture recognition, and a horseback riding simulator with posture correction capabilities. His more recent work on motion recognition for worker safety reflects a thoughtful commitment to human-robot collaboration in shared workspaces. Taken together, Kim's research portfolio represents a sustained and impactful effort to make intelligent robotic systems more reliable, perceptive, and practically deployable in real-world environments.

Research Focus

Key Achievements

Top Papers

1. 1
   Object recognition for cell manufacturing system

   20 citations · 2012
2. 2
   Real-time precise object segmentation using a pixel-wise coarse-fine method with deep learning for automated manufacturing

   18 citations · 2021
3. 3
   A Robot Photographer with User Interactivity

   18 citations · 2006
4. 4
   Dynamic Object Recognition Using Precise Location Detection and ANN for Robot Manipulator

   18 citations · 2017
5. 5
   Vision-based bin picking system for industrial robotics applications

   16 citations · 2012
6. 6
   Robotic vision system for random bin picking with dual-arm robots

   10 citations · 2016
7. 7
   Multiple objects recognition for industrial robot applications

   9 citations · 2013
8. 8
   Precise object detection using local feature for robot manipulator

   6 citations · 2017
9. 9
   Interaction control for postural correction on a riding simulation system

   5 citations · 2014
10. 10
    Motion Recognition System for Worker Safety in Manufacturing Work Cell

    4 citations · 2018

Key Collaborators

Contact & Links