Cha Wang Cheol
Papers
1
Total Citations
7
H-Index
1
About
Cha Wang Cheol is a leading researcher in intelligent robotics and autonomous navigation, with a focus on integrating advanced control systems with artificial intelligence. His most cited work, "A Mobile Robot Obstacle Avoidance Using Fuzzy Logic and Model Predictive Control" (2014), has garnered 7 citations and represents a significant contribution to the field. In this paper, Cheol pioneered a hybrid approach that combines Model Predictive Control (MPC) for precise trajectory tracking with Fuzzy Logic Control for adaptive obstacle avoidance in unknown dynamic environments. This work addresses a critical challenge in mobile robotics—enabling nonholonomic two-wheeled robots to navigate safely without prior environmental maps. Cheol's methodology has influenced subsequent research in real-time path planning and robust control systems, offering a practical framework for autonomous vehicles and service robots. His contributions bridge theoretical control theory and applied robotics, making him a notable figure in the development of safer, more intelligent mobile systems.
Research Focus
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Top Papers
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