Xianhua Ou

Papers

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About

Xianhua Ou is a rising researcher in autonomous navigation and nonlinear control systems, with a focus on enabling safer, more intelligent mobile robot operation in dynamic environments. His most-cited work, “Local Path Planner for Mobile Robot Considering Future Positions of Obstacles” (2024, 11 citations), introduces an improved timed elastic band (TEB) planner that significantly enhances dynamic obstacle avoidance—a critical challenge in real-world robotics. By incorporating predictive future obstacle positions, Ou’s approach moves beyond reactive planning, offering a proactive solution for crowded or unpredictable settings. In parallel, his paper “Data-Driven Control With Prescribed-Time Convergence for Discrete-Time Nonlinear Systems” (2024, 6 citations) advances model-free adaptive control by merging dynamic linearization with a discrete prescribed-time gain-scheduled feedback function. This work provides a rigorous framework for achieving convergence within a user-defined time window, even without a system model—valuable for applications in industrial automation and cyber-physical systems. Though early in his career, Ou’s contributions bridge practical path planning and theoretical control design, earning recognition for addressing both real-time performance and formal guarantees. His research holds promise for next-generation autonomous vehicles and service robots.