Chih-Hsiung Yang
Papers
1
Total Citations
18
H-Index
1
About
Chih-Hsiung Yang is a researcher whose work lies at the intersection of intelligent control systems and autonomous mobile robotics. His key contributions focus on developing neuro-fuzzy controllers that enable car-like mobile robots to perform complex maneuvers, such as parallel parking, with minimal human intervention. In his most cited work, "The design of an autonomous parallel parking neuro-fuzzy controller for a car-like mobile robot" (2010), Yang introduced an innovative approach that integrates three ultrasonic sensors and a compass sensor to gather environmental data. This system allows the robot to autonomously navigate into parking spaces, demonstrating a practical application of fuzzy logic and neural networks in real-world robotics. With 18 citations, this paper has influenced subsequent research in autonomous vehicle control and sensor-based navigation. Yang’s work is notable for bridging theoretical control algorithms with tangible robotic implementations, offering a foundation for advancements in self-parking technologies. His research continues to inspire students and engineers exploring intelligent automation and sensor fusion in mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1