Yanyue Zhang

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About

Yanyue Zhang is a researcher in robotics and autonomous navigation, with a primary focus on mobile robot path planning and obstacle avoidance. Her most notable contribution is the development of an improved artificial potential field method for path planning, which addresses two critical limitations of traditional approaches: the unreachable target problem and the tendency for robots to become trapped in local minima. By refining the repulsive field function, Zhang’s work ensures that obstacles near the target point do not exert excessive repulsive forces, enabling smoother and more reliable navigation. Additionally, her method incorporates mechanisms to detect and escape local minima, significantly enhancing the robustness of autonomous robot movement. Her 2022 paper on this topic has garnered 8 citations, reflecting its practical relevance in the field of intelligent robotics. Zhang’s research is particularly valuable for applications in service robots, autonomous vehicles, and industrial automation, where efficient and safe path planning is essential. Her work continues to influence subsequent studies on improving the efficiency and safety of mobile robot navigation in complex environments.