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About

Andong Shi is a robotics researcher specializing in multi-robot systems, autonomous navigation, and airport infrastructure inspection. His work addresses critical challenges in deploying robot teams for large-scale, safety-critical tasks such as airport runway and pavement detection. Shi’s major contributions include developing novel multi-robot task allocation algorithms that optimize inspection time and robot entry/exit positions for complex environments like airfields, and a partition coverage planning method using adjustable rectangular decomposition for complete airport pavement coverage. He has also advanced human-aware robot navigation by introducing an asymmetric Gaussian model that accounts for human gaze direction, reducing discomfort when robots intrude on personal space. His most cited paper, “Multi-robot Task Allocation for Airfield Pavement Detection Tasks” (2021), has garnered 8 citations, reflecting growing interest in his practical, high-stakes applications. With additional works on runway Foreign Object Debris (FOD) detection and human-robot interaction, Shi is contributing to the safe, efficient integration of robotics into civil aviation and infrastructure maintenance—a field with immense potential for real-world impact.