Jinchao Guan

Papers

Total Citations

173

H-Index

About

Jinchao Guan is a leading researcher at the intersection of robotics, civil engineering, and intelligent control systems. His primary research areas include automated guided vehicles (AGVs), autonomous mobile robots (AMRs), and adaptive fuzzy control for visual tracking in unstructured environments. Guan’s most impactful contribution is his pioneering work on integrating robotics into civil infrastructure maintenance, particularly for automated road crack detection and repair. His highly cited 2022 paper, "Automated guided vehicles and autonomous mobile robots for recognition and tracking in civil engineering," has garnered 151 citations, establishing a foundational framework for deploying mobile robots in construction and infrastructure monitoring. In his 2023 study, "Cross‐entropy‐based adaptive fuzzy control for visual tracking of road cracks with unmanned mobile robot," Guan tackled the persistent challenge of accurate crack sealing in unstructured road environments. By developing a novel control method that combines cross-entropy optimization with adaptive fuzzy logic, he significantly improved the precision and reliability of visual tracking for road cracks—a critical step toward fully automated road repair. His work has profound implications for smart infrastructure, reducing human labor in hazardous environments and enhancing the efficiency of maintenance operations. Guan’s research continues to shape the future of autonomous systems in civil engineering.