Papers
1
Total Citations
11
H-Index
1
About
Ziqing Wu is a researcher in robotics and computational intelligence, with a primary focus on autonomous navigation and optimization algorithms. Wu’s most cited work, “A novel path planning method of mobile robots based on an improved bat algorithm” (2020, 11 citations), addresses a critical challenge in mobile robotics: efficient and reliable global path planning. In this study, Wu introduced an enhanced bat algorithm that incorporates linear inertial weights to prevent premature convergence and Levy flight mechanisms to improve global search capabilities. This contribution offers a more robust solution for robots navigating complex environments, balancing exploration and exploitation in real-time. While Wu’s citation count is still building, the work demonstrates a clear impact on the field of swarm intelligence applied to robotics. The research is particularly valuable for students and engineers developing autonomous systems, as it provides a practical, nature-inspired method for optimizing robot trajectories. Wu’s work continues to influence the integration of metaheuristic algorithms into real-world robotic applications, marking a promising trajectory in intelligent systems research.
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Top Papers
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