Papers
7
Total Citations
175
H-Index
5
About
Haiyan Wang is a robotics and autonomous systems researcher whose work spans mobile robot navigation, path planning, and localization in sensor networks. Best known for developing optimized motion planning algorithms, Wang has made significant contributions to improving the efficiency and practicality of classical navigation frameworks. Their most influential work, "A Mobile Robot Path Planning Algorithm Based on Improved A* Algorithm and Dynamic Window Approach" (2022, 105 citations), addressed longstanding limitations of the traditional A* algorithm — including excessive turning points and redundant nodes — by introducing adaptive optimizations that substantially improve real-world applicability. Complementing this, Wang has explored particle swarm optimization for heuristic path planning and fusion-based dynamic navigation approaches, demonstrating a consistent drive to bridge theoretical algorithms with practical robotic deployment. Beyond navigation, Wang's research extends to source localization using quantized Time-of-Arrival measurements under transmission uncertainty, reflecting expertise in sensor network estimation. Earlier work on hydraulic biped robots and sliding-mode trajectory control further showcases a broad foundation in robot dynamics and control theory. Wang's growing citation record — anchored by a standout highly cited publication — marks them as an emerging contributor to intelligent robotics and autonomous systems research.
Research Focus
Key Achievements
Top Papers
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- 5Tracking control of wheeled mobile robots based on sliding-mode control6 citations · 2011
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