Jing-yu Fan

About

Dr. Jing-yu Fan is a leading figure in the field of nonlinear control and autonomous mobile robotics, with a particular focus on the robust navigation of wheeled mobile robots (WMRs) under extreme real-world conditions. Their most-cited work, a 2020 study on "Targeting Posture Control With Dynamic Obstacle Avoidance of Constrained Uncertain Wheeled Mobile Robots Including Unknown Skidding and Slipping" (50 citations), addresses a critical challenge in robotics: maintaining precise control when a robot experiences unpredictable traction loss. Dr. Fan’s major contribution lies in developing a sophisticated nonlinear model predictive control framework that simultaneously handles torque saturation, model uncertainties, and dynamic obstacle avoidance, all while compensating for unknown skidding and slipping. This integrated approach is vital for applications ranging from autonomous warehouse logistics to planetary exploration. By tackling these compounded uncertainties, Dr. Fan’s research provides a more reliable and practical path for deploying WMRs in unstructured, hazardous environments, marking a significant step forward in the safety and autonomy of field robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   Targeting Posture Control With Dynamic Obstacle Avoidance of Constrained Uncertain Wheeled Mobile Robots Including Unknown Skidding and Slipping

   50 citations · 2020

Key Collaborators

Contact & Links