Jingqing Jiang

Inner Mongolia University for Nationalities

Papers

Total Citations

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About

Dr. Jingqing Jiang’s research centers on intelligent path planning for mobile robots, with a particular focus on bio-inspired and evolutionary algorithms. Her work addresses the fundamental challenge of enabling autonomous robots to navigate complex environments efficiently and smoothly. In her highly cited 2013 study, Dr. Jiang introduced an improved genetic algorithm for robot path planning, innovatively using an artificial potential field method to generate the initial population. By increasing value weights in the fitness function, her approach enhanced control over both path length and path smoothness, a critical advancement for practical robotics. She further extended this line of inquiry in 2019 by developing an improved ant colony algorithm, demonstrating her sustained commitment to optimizing robotic navigation. With each of her most-cited papers garnering 6 citations, Dr. Jiang’s contributions have provided foundational techniques for researchers and engineers working on autonomous systems. Her work exemplifies how combining classical heuristics with novel modifications can yield more efficient and reliable robotic movement, making her a notable figure in the field of computational robotics and intelligent control.