BingHao Ou

Papers

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About

BingHao Ou is a researcher focused on intelligent robotics and optimization algorithms, with a particular emphasis on path planning for mobile robots. His most-cited work, "Path Planning of Mobile Robots Based on Genetic Algorithm" (2023, 11 citations), introduces a novel approach that transforms grid map models into two-dimensional matrices, enabling more efficient navigation. Ou’s key contribution lies in designing a mobile operator with probability attributes and a genetic coding method based on matrix row and column numbers, using the reciprocal of path distance as a fitness function to optimize routes. This work addresses fundamental challenges in autonomous navigation, offering a computationally effective solution for planar mobile robots. While his citation count is still growing, Ou’s research demonstrates practical potential for applications in robotics and automation, where efficient path planning is critical. His work represents a meaningful step toward integrating evolutionary algorithms with real-world robotic systems, and it serves as a foundation for further exploration in adaptive and intelligent control.