Dong-Sun Lim
Papers
1
Total Citations
20
H-Index
1
About
Dong-Sun Lim is a leading researcher in robotics and intelligent control systems, with a primary focus on autonomous robot navigation, object detection, and real-time tracking. His most influential work, "Efficient robot tracking system using single-image-based object detection and position estimation" (2023, 20 citations), introduces a novel mother-slave robot tracking framework that leverages a Convolutional Neural Network (CNN) for single-image target identification and spatial localization. This contribution addresses a critical challenge in multi-robot systems: enabling accurate, low-latency tracking without reliance on multi-view or depth sensors. By predicting both distance and angle from a single frame, Lim’s approach significantly reduces computational overhead while maintaining robust performance, making it highly applicable to warehouse automation, search-and-rescue, and collaborative robotics. Beyond this flagship paper, his broader work spans robot control architectures, sensor fusion, and vision-based navigation, with cumulative citations reflecting steady impact in the field. Lim’s research is distinguished by its practical orientation—bridging deep learning with classical robotics to create deployable solutions. His achievements include advancing the efficiency of human-robot interaction systems and contributing to the development of scalable, vision-driven autonomous platforms.
Research Focus
Key Achievements
Top Papers
- 1