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About

Zijie Niu is a robotics and automation researcher whose work bridges intelligent control, agricultural technology, and mobile robotics. His research focuses on developing practical robotic systems for real-world applications, particularly in autonomous navigation and agricultural automation. Niu’s most cited work, "Fuzzy Control Strategy for Course Correction of Omnidirectional Mobile Robot" (30 citations), demonstrates his expertise in advanced control algorithms for robotic mobility. He has made significant contributions to agricultural robotics, including the development of a portable kiwi variety classification system using transfer learning—a project with direct applications for automatic picking robots and sorting facilities. Niu has also advanced SLAM-based mapping for wheeled mobile robots in ROS environments and optimized the structural design of delta parallel picking robots for improved workspace efficiency. His work on the kiwi classification system, presented at a Chinese conference, addresses China’s position as a leading kiwifruit producer, showcasing his commitment to solving practical agricultural challenges through robotics and machine learning.