Jiqiang Zheng

Papers

Total Citations

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About

Jiqiang Zheng has made impactful contributions to industrial automation, with a primary focus on autonomous navigation and control systems for mobile robots. His most-cited work, "Research on automated guided vehicle (AGV) path tracking control based on laser simultaneous localization and mapping (SLAM)" (2025, 9 citations), addresses a critical challenge in modern manufacturing: enabling AGVs to navigate dynamically without pre-installed infrastructure. By integrating laser SLAM with advanced path-tracking algorithms, Zheng’s research enhances the precision and adaptability of AGVs in complex industrial environments. This work directly responds to the growing demand for flexible, efficient material-handling solutions in smart factories. His contributions are particularly notable for bridging theoretical control methods with practical deployment, offering robust solutions for real-time path planning and tracking. While early in his citation trajectory, Zheng’s research has already attracted attention from peers working on autonomous logistics and Industry 4.0 technologies. His work stands out for its clear industrial relevance, providing a foundation for future advances in self-driving vehicles within constrained workspaces. For students and researchers exploring mobile robotics, Zheng’s studies offer a compelling example of how sensor fusion and control theory converge to solve real-world automation problems.