Hongmei Zhang

Papers

Total Citations

103

H-Index

About

Hongmei Zhang is a leading researcher in mobile robotics, with a primary focus on intelligent path planning and navigation in complex and dynamic environments. Her work addresses critical challenges in autonomous systems, particularly the trade-off between computational efficiency and path safety. Zhang’s most influential contribution is her improved A* algorithm, which enhances traditional path planning by incorporating safety and smoothness constraints, as demonstrated in her highly cited 2018 paper (71 citations). She further advanced the field by integrating Dijkstra’s algorithm, A*, and rolling window principles to create a rapid path planning method for dynamic settings (32 citations), enabling robots to adapt to real-time obstacles. Her research has significant implications for autonomous vehicles, warehouse logistics, and search-and-rescue operations, where safe and efficient navigation is paramount. With over 100 combined citations on these key works, Zhang has established herself as a pivotal figure in algorithmic robotics, bridging theoretical graph search methods with practical, real-world applications. Her innovative approaches continue to influence both academic research and industrial implementations of mobile robot autonomy.