Rourou Xu

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About

Rourou Xu is a rising researcher in the field of multi-agent systems and autonomous vehicle control, with a focus on vision-based formation tracking. Their most-cited work, "Vision-based neural formation tracking control of multiple autonomous vehicles with visibility and performance constraints" (2021, 22 citations), addresses a critical challenge in cooperative robotics: ensuring that multiple vehicles maintain formation while adhering to real-world visibility and performance limits. This paper introduces a neural network-based framework that integrates visual feedback with adaptive control, enabling robust coordination even under constrained sensing conditions. Xu's contributions are particularly significant for applications in drone swarms, autonomous convoys, and underwater vehicle teams, where reliable formation control is essential. By tackling the interplay between visibility constraints and performance guarantees, Xu has advanced the practical deployment of multi-vehicle systems in dynamic environments. Their work stands out for its theoretical rigor and direct relevance to real-world autonomy, making it a valuable reference for researchers in control theory, robotics, and intelligent systems. With 22 citations, this paper signals Xu's growing influence in the field, and their ongoing research promises to further bridge the gap between vision-based perception and cooperative control.