Chenguang Zhang
Papers
1
Total Citations
3
H-Index
1
About
Chenguang Zhang’s research focuses on the intersection of robotics, automation, and underground infrastructure detection, with a particular emphasis on multi-robot systems and pipeline mapping. His most-cited work, “Simulation Research on Pipeline Map System Based on Multi-robot Queue Cooperation” (2020), addresses a critical challenge in urban infrastructure management: accurately mapping underground pipeline networks. By proposing a multi-robot queue cooperation approach, Zhang’s research enables more efficient and precise pipeline localization, planning, and maintenance—advancements that are essential for modernizing underground detection technology. This work has garnered 3 citations, reflecting its niche but growing influence in the field of robotic pipeline inspection. Zhang’s contributions are notable for their practical implications, as they directly support the development of autonomous systems that can replace manual, labor-intensive pipeline surveys. His research aligns with broader trends in smart city infrastructure and robotic automation, positioning him as a contributor to the evolution of underground utility management. For students and researchers, Zhang’s work offers a compelling example of how robotics can solve real-world engineering challenges in hidden, hazardous environments.
Research Focus
Key Achievements
Top Papers
- 1