Papers
1
Total Citations
18
H-Index
1
About
Tong‐Yi Guo is a researcher whose work lies at the intersection of intelligent control systems and mobile robotics, with a particular focus on autonomous navigation and parking maneuvers. His most-cited paper, "The design of an autonomous parallel parking neuro-fuzzy controller for a car-like mobile robot" (2010), has garnered 18 citations and represents a significant contribution to the field of autonomous vehicle control. In this work, Guo developed a neuro-fuzzy controller that integrates neural networks with fuzzy logic to enable a car-like robot to perform parallel parking autonomously. The system employs three ultrasonic sensors mounted on the front left corner of the vehicle to gather environmental data, alongside a compass sensor for orientation, demonstrating a practical, sensor-driven approach to real-world parking challenges. This research not only showcases Guo's expertise in merging computational intelligence with mechanical systems but also lays groundwork for advancements in autonomous driving technologies. His work continues to influence studies in robotic control and intelligent transportation systems, making him a notable figure in applied robotics.
Research Focus
Key Achievements
Top Papers
- 1