Li Zu

Nanjing University of Science and Technology

Papers

Total Citations

H-Index

About

Li Zu is a pioneering researcher in autonomous mobile robotics, with a focused expertise in localization and terrain acquisition for robot mowers operating in unmarked, unstructured environments. Her major contributions lie in developing intelligent systems that allow robots to navigate and cover arbitrarily shaped areas—such as lawns with obstacles—without relying on artificial landmarks or pre-defined boundaries. Zu’s work integrates artificial neural networks, particularly Radial Basis Function (RBF) networks, to enable real-time heading angle acquisition and accurate localization, which are critical for successful area coverage. Her most cited paper, “Localization for robot mowers covering unmarked operational area” (2005, 8 citations), establishes a foundational method for digital boundary mapping using onboard localization systems. Complementing this, her studies on neural network-based terrain acquisition (2005, 5 citations each) demonstrate innovative approaches to managing complex, obstacle-populated lawns. Though her citation counts are modest, Zu’s research is notable for its practical, application-driven focus on automating lawn care—a domain that demands robust, real-world solutions. Her work remains relevant for researchers in field robotics, precision agriculture, and autonomous navigation, offering early insights into the challenges of unmarked environment coverage.