Papers
1
Total Citations
2
H-Index
1
About
G Aibo is a researcher specializing in the coordination control of driving robots, with a particular focus on the integration of longitudinal and lateral manipulation for autonomous vehicle testing. Their major contribution lies in developing a sophisticated control method that addresses the coupling dynamics between acceleration, braking, and steering operations. In their most-cited work (2021, 2 citations), G Aibo proposed a novel approach combining fuzzy sliding mode controllers for longitudinal actions with robust backstepping controllers for steering, effectively minimizing frequent switching between acceleration and braking while ensuring precise vehicle control. This work demonstrates their expertise in dynamic modeling, control strategy design, and real-world validation through simulation and experimental testing. Though early in their citation impact, G Aibo’s research is foundational for advancing the precision and stability of driving robots used in automotive testing, contributing to the broader field of intelligent vehicle control systems. Their work highlights a practical engineering focus on improving autonomous and robotic driving performance.
Research Focus
Key Achievements
Top Papers
- 1