Papers
3
Total Citations
104
H-Index
2
About
Xu Miao is a leading researcher in autonomous robotics, specializing in coverage path planning and multi-robot coordination for large-scale environments. His seminal 2018 paper on scalable coverage path planning using rectangular map decomposition (76 citations) revolutionized cleaning robot technology by enabling efficient, complete coverage of expansive spaces like airports and libraries—a critical advancement over traditional methods limited to small homes. Miao extended this work in 2020 with a multi-cleaning robot distribution method (26 citations), solving challenges of slow progress and battery constraints through intelligent task allocation. His early research on population-based incremental learning for robot path planning (2014) demonstrated innovative use of evolutionary algorithms to accelerate convergence in complex navigation problems. With over 100 total citations, Miao’s contributions directly address real-world scalability issues in service robotics, making him a pivotal figure in the transition from laboratory prototypes to practical, large-area deployment. His work remains essential reading for engineers and researchers advancing autonomous cleaning systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3Path planning for robot using Population-Based Incremental Learning2 citations · 2014