ZHANG Kuang-wei
Papers
1
Total Citations
3
H-Index
1
About
Zhang Kuang-wei is a researcher focused on advancing robotic systems for underground infrastructure, particularly in pipeline detection and mapping. His work centers on multi-robot coordination and simultaneous localization and mapping (SLAM) in constrained environments. His most-cited paper, "Simulation Research on Pipeline Map System Based on Multi-robot Queue Cooperation" (2020), proposes a novel approach to constructing pipeline network maps using collaborative robot teams. This research addresses critical challenges in pipeline localization, network planning, and maintenance—areas vital for urban infrastructure management. By enabling robots to carry detection equipment through complex underground networks, Zhang’s work contributes to safer, more efficient inspection methods that reduce human risk. His studies have garnered citations from peers exploring robotic exploration in GPS-denied environments, reflecting their relevance to automation in civil engineering and disaster response. Zhang’s contributions highlight the potential of swarm robotics to transform how we monitor and maintain aging pipeline systems, offering practical solutions for smart city development.
Research Focus
Key Achievements
Top Papers
- 1