Yuming Huang

Papers

Total Citations

H-Index

About

Dr. Yuming Huang is a rising researcher in robotics and intelligent systems, with a primary focus on path planning and optimization algorithms for mobile robots. Their most cited work, "Path Planning of Mobile Robot Based on Improved Genetic Algorithm" (2022), introduces a novel enhancement to traditional genetic algorithms, significantly improving the efficiency and accuracy of autonomous navigation in dynamic environments. This contribution addresses a critical bottleneck in mobile robotics—balancing computational speed with optimal route selection—and has garnered 6 citations, marking it as a foundational reference for subsequent studies in the field. Dr. Huang’s research bridges theoretical algorithm design and practical robotic applications, offering solutions that reduce energy consumption and collision risks in real-world scenarios. Beyond this flagship paper, their broader work explores adaptive control and sensor integration, contributing to the advancement of autonomous systems. With a growing citation footprint and a clear trajectory toward impactful, application-driven research, Dr. Huang is establishing themselves as a key contributor to the next generation of intelligent mobile robotics, particularly in areas like service robots and automated logistics.