Miao Liao
Papers
1
Total Citations
7
H-Index
1
About
Miao Liao is a robotics researcher whose work focuses on making autonomous navigation more accessible through low-cost sensor integration. Her primary research areas include mobile robot navigation, stereo vision, and affordable GPS-based localization systems. Liao's most notable contribution is her 2017 paper on real-time mobile robot navigation using only a stereo camera and a low-cost GPS receiver—a significant departure from the high-end sensor suites typically required for large-scale outdoor autonomous vehicles. This work, which has garnered 7 citations, addresses the critical challenge of implementing cost-effective autonomous ground vehicles without sacrificing real-time performance. By demonstrating that reliable navigation is possible with minimal hardware, Liao's research opens doors for broader adoption of robotics in resource-constrained settings. Her approach to combining stereo vision with affordable GPS represents an important step toward democratizing autonomous navigation technology, making it more practical for applications ranging from agricultural robotics to last-mile delivery.
Research Focus
Key Achievements
Top Papers
- 1