Haolong Xiang
Papers
1
Total Citations
2
H-Index
1
About
Haolong Xiang is a researcher focused on the intersection of cloud computing and industrial automation, with a particular emphasis on autonomous guided vehicle (AGV) systems. His work addresses the challenges of real-time control and scalability in smart manufacturing environments. His most notable contribution, the "Cloud-Based AGV Control System" (2020), proposes a framework that leverages cloud infrastructure to enhance the flexibility, coordination, and efficiency of AGV fleets in logistics and production settings. While his citation count is modest, with 2 citations for this key paper, the work represents an early exploration into integrating cloud resources with industrial robotics—a growing area of interest for Industry 4.0 applications. Xiang’s research is particularly relevant for students and engineers seeking to understand how cloud architectures can offload computational demands from onboard AGV systems, enabling more complex path planning and traffic management. His contributions, though emerging, lay groundwork for future innovations in decentralized, cloud-driven automation.
Research Focus
Key Achievements
Top Papers
- 1Cloud-Based AGV Control System2 citations · 2020