Zhongliang Sun

Papers

Total Citations

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About

Zhongliang Sun is a researcher specializing in robotics, automation, and intelligent perception systems, with a particular focus on mobile robot navigation and target recognition. His most-cited work, "Research on target localization recognition of automatic mobile ball-picking robot" (2022), has garnered 2 citations and explores the integration of computer vision and localization algorithms for autonomous object retrieval—a foundational contribution to the development of service and sports robotics. Sun’s research addresses critical challenges in real-time object detection and spatial mapping, enabling robots to operate effectively in dynamic, unstructured environments. While his citation count is modest, his work represents a practical step toward automating labor-intensive tasks, such as ball collection in sports fields, with potential applications in agriculture, logistics, and domestic assistance. Sun’s focus on low-cost, efficient robotic solutions underscores his commitment to bridging the gap between theoretical robotics and real-world deployment. His contributions are particularly valuable for students and researchers interested in the intersection of embedded systems, sensor fusion, and autonomous navigation, offering a clear example of how targeted research can solve specific, high-impact problems in robotics.