Young-Chul Bae

About

Dr. Young-Chul Bae is a leading researcher in robotics, control systems, and real-time industrial communication, with a career spanning foundational work in chaotic robotics to modern IoT and underwater vehicle navigation. His most cited work, a 2009 paper on a real-time EtherCAT Master implementation using Xenomai (28 citations), has been instrumental in enabling precise, high-speed control for robot systems. Dr. Bae has also made significant contributions to localization technologies, developing a robust RSSI-based method for robot and IoT positioning (21 citations) and an enhanced TOA trilateration algorithm (11 citations). In underwater robotics, he introduced a novel sine rotation vector method for attitude estimation (18 citations), improving navigation accuracy for autonomous underwater vehicles. A pioneer in chaotic mobile robotics, Dr. Bae has published multiple papers on obstacle avoidance and target searching using chaos equations like Arnold and Chua’s circuits, as well as formation control for multi-robot systems. His work on vector control of AC servo motors over Optical-EtherCAT networks and the design of multi-motor robot joint structures further demonstrates his impact on practical robot actuation. With over 125 total citations, Dr. Bae’s research continues to influence real-time control, localization, and autonomous navigation.

Research Focus

Key Achievements

Top Papers

1. 1
   Real-time EtherCAT Master Implementation on Xenomai for a Robot System

   28 citations · 2009
2. 2
   Robust Localization for Robot and IoT Using RSSI

   21 citations · 2019
3. 3
   Sine Rotation Vector Method for Attitude Estimation of an Underwater Robot

   18 citations · 2016
4. 4
   Obstacle Avoidance Methods in the Chaotic Mobile Robot with Integrated some Chaos Equation

   12 citations · 2003
5. 5
   Line Intersection Algorithm for the Enhanced TOA Trilateration Technique

   11 citations · 2014
6. 6
   A Study on Obstacle Avoid Method and Synchronization of multi chaotic robot for Robot Formation Control based on Chaotic Theory

   10 citations · 2010
7. 7
   Target searching method in the chaotic mobile robot

   8 citations · 2005
8. 8
   An Implementation of Vector Control of AC Servo Motor based on Optical-EtherCAT Network

   7 citations · 2013
9. 9
   Design of Robot Joint Structure using Multiple Motors

   5 citations · 2012
10. 10
    The Target Searching Method in the Chaotic Mobile Robot Embedding BVP Model

    5 citations · 2007

Key Collaborators

Contact & Links