Papers
1
Total Citations
22
H-Index
1
About
Lihua Wang is a leading researcher in mobile robotics and intelligent navigation systems, with a focus on overcoming the challenges of real-time obstacle avoidance in dynamic environments. Her most-cited work, "Real-time Obstacle Avoidance Strategy for Mobile Robot Based On Improved Coordinating Potential Field with Genetic Algorithm" (2007, 22 citations), introduces a groundbreaking improvement to the traditional artificial potential field (APF) method. By proposing the coordinating potential field (CPF), Wang addresses critical limitations in robot navigation, such as local minima and oscillatory behavior, through the strategic use of local subgoals and genetic algorithm optimization. This work has become a foundational reference for researchers developing adaptive and efficient path-planning algorithms. Wang’s contributions are particularly valued for their practical applicability in real-time systems, bridging the gap between theoretical robotics and real-world deployment. Her research continues to influence advancements in autonomous navigation, multi-robot coordination, and intelligent control systems, making her a respected figure in the field. With a career dedicated to solving complex motion planning problems, Lihua Wang remains an inspiring scholar for students and researchers interested in robotics and artificial intelligence.
Research Focus
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Top Papers
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