Xiangnan Zhang

Papers

Total Citations

H-Index

About

Xiangnan Zhang is a researcher specializing in industrial automation and intelligent control systems, with a particular focus on the integration of cloud computing and autonomous guided vehicles (AGVs). His most-cited work, "Cloud-Based AGV Control System" (2020), introduces a novel framework that leverages cloud infrastructure to enhance the flexibility, scalability, and real-time responsiveness of AGV operations in manufacturing and logistics environments. This contribution addresses critical challenges in traditional AGV control, such as limited computational resources and centralized decision-making bottlenecks, by enabling distributed, cloud-assisted coordination. While his citation count of 2 reflects the emerging nature of this research area, Zhang's work lays foundational groundwork for next-generation smart factory systems. His approach emphasizes cost-effective, modular solutions that align with Industry 4.0 principles, making his research particularly relevant for engineers and researchers exploring the intersection of cloud computing, robotics, and industrial IoT. Zhang’s contributions are a stepping stone toward more adaptive and efficient automated material handling systems.