Zhengwei Zhang
Papers
1
Total Citations
11
H-Index
1
About
Dr. Zhengwei Zhang is a leading researcher in intelligent logistics and industrial automation, with a primary focus on the path planning and obstacle avoidance of heavy machinery. His most influential work centers on adapting advanced algorithms for bridge cranes, a critical component in manufacturing and warehousing. In his highly cited 2021 paper, "Route planning of intelligent bridge cranes based on an improved artificial potential field method," Dr. Zhang pioneered the application of this algorithm—traditionally used for driverless cars and mobile robots—to the complex, constrained environment of overhead cranes. This contribution addresses a significant gap in the literature, as few studies had previously tackled real-time navigation for such large-scale equipment. Garnering 11 citations, his work demonstrates a practical impact on improving safety and efficiency in industrial settings. By bridging the gap between mobile robotics and heavy machinery, Dr. Zhang’s research offers a novel framework for automating logistics in factories and warehouses, marking him as an innovator in the field of intelligent manufacturing systems.
Research Focus
Key Achievements
Top Papers
- 1