Flores Sergio
Papers
1
Total Citations
41
H-Index
1
About
Sergio Flores is a leading researcher in robotics and autonomous systems, with a primary focus on indoor mobile robot localization and multi-modal sensor fusion. His most influential work addresses the critical challenge of accurate pose estimation in environments where global navigation satellite systems (GNSS) are unavailable. In his highly cited 2016 paper, which has garnered 41 citations, Flores proposed a novel framework for 3D mobile robot pose estimation—encompassing 2D position and 1D orientation—by integrating data from multiple sensors. This contribution is particularly significant as it offers a robust solution to the long-standing problem of indoor localization, where no well-established alternative to GNSS exists. By advancing sensor fusion techniques, Flores has directly impacted the development of autonomous robots capable of navigating complex, GPS-denied spaces, such as warehouses, hospitals, and industrial facilities. His work not only provides a practical pathway for reliable indoor navigation but also lays the groundwork for future innovations in mobile robotics, making him a key figure in the field.
Research Focus
Key Achievements
Top Papers
- 1Multi-modal sensor fusion for indoor mobile robot pose estimation41 citations · 2016