Bai Wenfeng

Papers

Total Citations

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About

Bai Wenfeng’s research centers on intelligent robotics and optimization algorithms, with a particular focus on path planning for autonomous systems. His most cited work, “Research on path planning for soccer robot based on improved genetic algorithm” (2011), introduces an enhanced adaptive genetic algorithm that refines crossover and mutation operators while incorporating optimization mechanisms. This contribution addresses critical challenges in real-time navigation for multi-agent robotic environments, demonstrating how algorithmic improvements can yield more efficient and reliable motion planning. Although his citation count is modest, Bai’s work represents foundational progress in applying evolutionary computation to robotics, offering practical insights for researchers developing autonomous systems in dynamic settings. His approach to operator optimization has influenced subsequent studies in robotic path planning and adaptive algorithm design. Bai’s research underscores the importance of algorithmic refinement in enabling robots to operate effectively in competitive and unpredictable environments, making his contributions valuable for students and engineers exploring the intersection of artificial intelligence and robotics.