Papers
1
Total Citations
4
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1
About
Dr. Ko-Jie Wang is a leading figure in intelligent robotic control systems, with a primary focus on adaptive fuzzy control and mobile manipulation. His most cited work, "Adaptive PD fuzzy control with dynamic learning rate for two-wheeled balancing six degrees of freedom robotic arm," introduces a groundbreaking method for stabilizing and controlling a complex, integrated system that combines a two-wheeled balancing mobile robot with a six-degree-of-freedom robotic arm. This research addresses the critical challenge of maintaining balance and precision during arm motion, proposing an enhanced fusion adaptive fuzzy controller with a dynamic learning rate to improve stability and performance. With 4 citations, this paper has laid important groundwork for the development of more agile and autonomous mobile manipulators. Dr. Wang’s contributions are particularly significant for applications in service robotics, industrial automation, and assistive technologies, where robust, adaptive control is essential. His work continues to inspire advancements in fuzzy logic-based control strategies, making him a respected voice in the field of intelligent robotics.
Research Focus
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Top Papers
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