Dianfang Huang

Guangxi University of Science and Technology

Papers

Total Citations

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About

Dianfang Huang is a researcher in intelligent robotics and optimization algorithms, with a primary focus on path planning and swarm intelligence. Their most notable contribution is the development of an improved ant colony algorithm for mobile robot path planning, which addresses critical limitations of the classical approach—namely, initial search blindness, slow convergence, and susceptibility to local optima. This work, published in 2018, has garnered 5 citations and represents a meaningful step forward in making autonomous navigation more efficient and reliable. Huang’s research is particularly relevant for applications in robotics, autonomous systems, and logistics, where optimal pathfinding is essential. By refining bio-inspired algorithms, Huang has contributed to the broader field of computational intelligence, offering practical solutions that enhance the performance of mobile robots in complex environments. Their work continues to influence researchers seeking to overcome the inherent challenges of heuristic optimization methods.