Mengyao Huang

Xi'an University of Science and Technology

Papers

Total Citations

H-Index

About

Mengyao Huang is a robotics researcher specializing in trajectory planning and autonomous control for heavy industrial robots, with a particular focus on applications in deep coal mining. Her work addresses critical challenges in anchor drilling robot operations, where precise and efficient path planning is essential for permanent highway support in underground mines. Huang’s most cited paper, “Improved Rapid-Expanding-Random-Tree-Based Trajectory Planning on Drill ARM of Anchor Drilling Robots” (2023, 6 citations), tackles the inefficiencies of conventional RRT algorithms, which produce crooked, rough paths. By proposing an enhanced RRT-based method, she significantly improves the accuracy and smoothness of drilling arm trajectories, directly contributing to safer and more reliable mining operations. This work demonstrates her ability to bridge theoretical algorithm optimization with real-world industrial constraints. Though early in her career, Huang’s research has already garnered attention for its practical impact on autonomous robotic systems in hazardous environments. Her contributions are particularly valuable for advancing automation in the mining sector, where robust path planning can reduce human risk and operational downtime.