Miao Xu

Papers

Total Citations

H-Index

About

Miao Xu is a robotics researcher whose work focuses on intelligent path planning and multi-robot coordination in complex, unknown environments. Her most cited paper, "ROBIL: Robot Path Planning Based on PBIL Algorithm" (2014, 14 citations), introduces a novel approach that combines Population-Based Incremental Learning (PBIL) with genetic algorithms to solve robot path planning problems. This work stands out for its innovative integration of evolutionary computation techniques to find optimal, collision-free paths, offering significant improvements over traditional methods. Xu further explores cooperative robotics in her 2017 paper, "A Novel Design to Improve the Cooperative Ability of the Multi-Cleaning Robot in the Unknown Environment" (2 citations), where she addresses the challenge of enabling multiple cleaning robots to work together effectively without prior environmental knowledge. Her contributions are particularly valuable for advancing autonomous navigation and swarm robotics, with potential applications in service robotics and industrial automation. While her citation counts reflect a growing body of work, Xu's research demonstrates a clear commitment to solving practical, real-world robotic challenges through algorithmic innovation.