Dianhua Zhang

Shanghai University of Engineering Science

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About

Dianhua Zhang’s research centers on path planning and terrain analysis, with a focus on improving navigation efficiency for robots and animated agents in complex environments. Her major contribution is the development of an improved path planning algorithm for rugged terrain, which introduces a 2.5-dimensional terrain grid to significantly reduce computational load. By integrating fuzzy logic theory, she enables a more nuanced evaluation of terrain trafficability, allowing for safer and more efficient route selection on uneven surfaces. This work, published in 2016, has garnered 3 citations and addresses a critical challenge in robotics and group animation. Zhang’s approach stands out for its practical application of fuzzy logic to real-world navigation problems, bridging the gap between theoretical path planning and the demands of irregular landscapes. Her research offers valuable insights for students and engineers working on autonomous systems, game development, and simulation, demonstrating how intelligent algorithms can adapt to environmental complexity.