Jiejie Xing

Papers

Total Citations

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About

Jiejie Xing is a researcher focused on advancing agricultural robotics, with a particular emphasis on multi-robot systems for precision farming. Their major contribution lies in developing innovative collision avoidance methods for autonomous robots operating in complex field environments, specifically targeting sweet potato cultivation. Xing's most-cited work, "Multi-robot collision avoidance method in sweet potato fields" (2024, 2 citations), addresses a critical bottleneck in agricultural automation: the inefficiency of semi-mechanized or single-robot spraying systems. By enabling multiple robots to navigate and coordinate without collisions, this research promises to significantly improve operational efficiency, reduce labor demands, and enable timely pest and disease control. While still early in their career, Xing's work represents a practical step toward scalable, autonomous farming solutions that could transform labor-intensive crop management. Their research bridges robotics, sensor integration, and agricultural engineering, offering a glimpse into the future of smart farming where fleets of robots work collaboratively to enhance productivity and sustainability in specialty crop production.