Yalong Ji

Papers

Total Citations

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About

Yalong Ji is a researcher in robotics and intelligent systems, with a primary focus on path planning and optimization algorithms for autonomous mobile robots. His most cited work, "Research and Implementation of Robot Path Planning Based on Ant Colony Algorithm" (2022), introduces a novel application of bio-inspired ant colony optimization to solve global path planning challenges. By leveraging pheromone-based decision-making, Ji’s approach enables robots to navigate complex environments efficiently, addressing a core problem in autonomous navigation. This paper has garnered 5 citations, reflecting its relevance in the growing field of swarm intelligence and robotics. Ji’s contributions are particularly notable for their practical implementation, bridging theoretical algorithm design with real-world robotic systems. His work supports advancements in areas such as logistics, manufacturing, and service robotics, where efficient path planning is critical. As a researcher, Ji demonstrates a commitment to developing scalable, nature-inspired solutions that enhance robot autonomy, making his research a valuable resource for students and engineers exploring intelligent motion control and optimization techniques.