Hao-yue Yan

State Key Laboratory of Robotics and Systems, Harbin Institute of Technology

Papers

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About

Hao-yue Yan’s research focuses on advancing mobile robotics through precise localization and robust control strategies. Her major contributions lie in sensor fusion and nonlinear control, particularly for autonomous navigation in known environments. In her highly cited work, “Laser sensor based localization of mobile robot using Unscented Kalman Filter” (2016), she developed a method integrating laser distance sensor data with encoder readings to accurately estimate a robot’s position and orientation, achieving reliable localization by extracting geometric primitives like lines and polygons. This work has garnered 4 citations, reflecting its practical value in robotics. Additionally, in “A Backstepping Control Method for Mobile Robot Path Tracking” (2017), she designed a time-varying feedback control law based on Lyapunov theory, proving global asymptotic stability for path tracking—a key achievement validated through numerical simulations. With 3 citations, this paper underscores her skill in theoretical rigor applied to real-world motion control. Yan’s research bridges sensing and control, offering foundational techniques for autonomous systems. Her work is particularly notable for its clarity in addressing core challenges in mobile robot navigation, making it a valuable resource for students and researchers exploring sensor-based localization and nonlinear control methods.