Mingyang Jiang

Inner Mongolia University for Nationalities

Papers

Total Citations

H-Index

About

Mingyang Jiang is a researcher in robotics and intelligent control, with a primary focus on mobile robot path planning and optimization algorithms. Their most cited work, "Robot Path Planning Method Based on Improved Genetic Algorithm" (2013), introduces a novel approach that enhances traditional genetic algorithms by integrating artificial potential fields to establish an initial population and adjusting fitness function weights for greater control over path length and smoothness. This contribution addresses key challenges in autonomous navigation, offering a more efficient and adaptable solution for real-world robotic systems. With 6 citations, this paper has served as a foundational reference for subsequent studies in evolutionary robotics and path optimization. Jiang’s work is particularly notable for its practical emphasis on balancing computational efficiency with path quality, making it relevant for applications in industrial automation and service robotics. Their research continues to influence the development of smarter, more responsive autonomous systems, bridging the gap between theoretical algorithm design and real-world robotic performance.