Yanping Wang

Papers

Total Citations

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About

Yanping Wang is a researcher in robotics and computational intelligence, with a primary focus on path planning and optimization for autonomous systems. Wang’s most cited work, "Robot path planning based on modified genetic algorithm" (2010), introduces an innovative approach that leverages a modified genetic algorithm to enable mobile robots to navigate dynamic environments, avoid obstacles, and efficiently reach target destinations. By optimizing behavioral parameters through evolutionary computation, this contribution addresses a core challenge in robotics—balancing real-time adaptability with goal-directed movement. While the paper has garnered 3 citations, its significance lies in laying groundwork for integrating genetic algorithms into autonomous navigation, a topic that continues to inspire advances in swarm robotics and adaptive control. Wang’s research bridges theoretical optimization with practical robotic applications, offering students and researchers a clear example of how bio-inspired algorithms can solve complex spatial problems. This work remains a useful reference for those exploring evolutionary approaches to motion planning in uncertain environments.