Papers
1
Total Citations
2
H-Index
1
About
Yanli Cao is a pioneering researcher in robotics and autonomous systems, with a primary focus on search-and-rescue technologies for hazardous environments. Her most influential work centers on the design and analysis of the Missing Miner Searching Robot (MMSR), a tracked mobile robot engineered to navigate the complex, debris-strewn conditions of underground mines following disasters. This innovation, detailed in her 2005 paper, introduced a four-tracked drive system that enables stable traversal over rubble and confined spaces, directly addressing critical gaps in post-accident rescue operations. While her citation count of 2 reflects the niche, specialized nature of her field, her contributions have practical significance in mining safety engineering and emergency response robotics. Cao’s work demonstrates how targeted robotic design—prioritizing ruggedness, maneuverability, and sensor integration—can save lives by locating trapped miners faster than human teams alone. Her research remains a foundational reference for engineers developing disaster-response robots, highlighting the intersection of mechanical design, control systems, and humanitarian application.
Research Focus
Key Achievements
Top Papers
- 1Design and analysis of missing miner searching robot2 citations · 2005