Ying Shuai Quan
Papers
2
Total Citations
24
H-Index
2
About
Dr. Ying Shuai Quan is a rising researcher in autonomous vehicle navigation and robotic control systems, with a focus on safe trajectory planning and obstacle avoidance. Their major contributions lie in developing novel algorithms that integrate potential field methods with advanced control theory to handle emergency collision avoidance. Their most cited work, "Potential field‐based path planning for emergency collision avoidance with a clothoid curve in waypoint tracking" (2022, 20 citations), introduces the PF-MCF method, which combines potential fields with clothoid curves for smooth, real-time obstacle avoidance in waypoint-following scenarios. In another notable paper, "Robust Model Predictive Control with Control Barrier Function for Nonholonomic Robots with Obstacle Avoidance" (2021, 4 citations), Dr. Quan proposed the RMPC-CBF framework, providing theoretical guarantees of Input-to-State Stability and Input-to-State Safety for nonholonomic robots under disturbances. This work bridges robust control and safety-critical systems, offering practical solutions for autonomous driving and mobile robotics. Dr. Quan's research is particularly impactful for students and engineers working on autonomous systems, as it addresses the real-world challenge of ensuring both safety and performance in dynamic environments.
Research Focus
Key Achievements
Top Papers
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