Xiaoxiao Zhang
Papers
1
Total Citations
34
H-Index
1
About
Xiaoxiao Zhang is a prominent researcher in the field of robotics and intelligent path planning, with a primary focus on optimizing autonomous navigation systems. Her most significant contribution lies in developing hybrid algorithms that enhance the efficiency and reliability of robot global path planning. In her highly cited 2021 work, Zhang proposed an innovative fusion of the A-star algorithm with ant colony optimization, directly addressing critical limitations in traditional approaches—namely slow convergence, excessive iterations, and prolonged search times. By leveraging A-star’s heuristic efficiency to guide the ant colony’s pheromone update mechanism, her method achieves faster, more optimal paths with reduced computational overhead. This work has garnered 34 citations, reflecting its practical value for applications in logistics, service robotics, and autonomous vehicles. Zhang’s research is instrumental in advancing real-time decision-making for mobile robots operating in complex environments. Her algorithm not only improves planning speed but also enhances robustness in dynamic settings, marking her as a key contributor to the evolution of intelligent navigation systems.
Research Focus
Key Achievements
Top Papers
- 1