Suk Gyu Lee
Papers
21
Total Citations
260
H-Index
7
About
Suk Gyu Lee is a robotics and artificial intelligence researcher whose work spans multi-robot systems, autonomous exploration, formation control, and computer vision. His most significant contributions lie in applying bio-inspired and stochastic optimization techniques to complex robotics challenges, particularly the problem of autonomous exploration in unknown environments. His 2019 paper introducing a hybrid Grey Wolf Optimizer for multi-robot exploration has garnered 61 citations, establishing him as a notable voice in swarm robotics and intelligent search algorithms. Complementing this, his multi-objective optimization approaches and biologically inspired waypoint exploration strategies further demonstrate a sustained commitment to making robot navigation more adaptive and efficient. Lee has also made meaningful contributions to formation control and collision avoidance for nonholonomic mobile robots, developing priority-based strategies that enhance coordination in multi-robot teams. His broader interests extend to camera calibration using artificial intelligence, deep reinforcement learning for mobile robot exploration, cloud robotics platforms, and image stabilization systems. Collectively, his body of work — accumulating over 200 citations — reflects a research trajectory that bridges theoretical optimization with practical autonomous systems, offering valuable tools for researchers advancing the frontiers of intelligent robotics.
Research Focus
Key Achievements
Top Papers
- 1
- 2Artificial Intelligence based Camera Calibration31 citations · 2019
- 3Multi-Robot Exploration Based on Multi-Objective Grey Wolf Optimizer29 citations · 2019
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- 5Waypoint Mobile Robot Exploration Based on Biologically Inspired Algorithms25 citations · 2020
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