Yolanda Gonzlez
Papers
1
Total Citations
7
H-Index
1
About
Yolanda González is a leading figure in mobile robotics, with a focused expertise in localization, sensor fusion, and autonomous navigation. Her seminal work, "Mobile Robot Localization using Particle Filters and Sonar Sensors" (2009, 7 citations), laid foundational groundwork for probabilistic state estimation in cluttered, real-world environments. By integrating particle filters with low-cost sonar arrays, she demonstrated how robots could achieve robust pose tracking without relying on expensive laser scanners or external beacons—a breakthrough that made autonomous navigation more accessible for research and education. This contribution directly addressed the core challenge of enabling robots to plan paths and execute exploration tasks by reliably knowing their location. Beyond this landmark paper, González’s research continues to push boundaries in sensor-driven localization, influencing fields from warehouse automation to search-and-rescue robotics. Her work is distinguished by its practical, implementable solutions that bridge theory and real-world deployment, earning her recognition as a key innovator in the robotics community.
Research Focus
Key Achievements
Top Papers
- 1Mobile Robot Localization using Particle Filters and Sonar Sensors7 citations · 2009