Xueying Wang
Papers
1
Total Citations
26
H-Index
1
About
Xueying Wang has made significant contributions to the field of robotics and swarm intelligence, with a particular focus on autonomous navigation and path planning. Wang’s most cited work, “Ant Colony Optimization with Improved Potential Field Heuristic for Robot Path Planning” (2018, 26 citations), introduces a novel hybrid algorithm that synergistically combines ant colony optimization with an enhanced potential field heuristic. This approach leverages the strengths of both methods—the global search capability of ant colony algorithms and the local obstacle-avoidance efficiency of potential fields—to generate smoother, more efficient paths for mobile robots. By dynamically adjusting the heuristic influence at different stages of the search, Wang’s algorithm overcomes common pitfalls like local minima and premature convergence. This research has practical implications for autonomous systems in manufacturing, logistics, and service robotics. Wang’s work stands out for its elegant integration of complementary techniques, offering a robust solution to a fundamental problem in robotics. The paper’s continued citations underscore its value as a reference for researchers developing intelligent navigation systems.
Research Focus
Key Achievements
Top Papers
- 1