Ana Maria Pistea
Papers
1
Total Citations
4
H-Index
1
About
Ana Maria Pistea is a researcher whose work lies at the intersection of robotics, sensor technology, and emergency response systems. Her primary research areas include ultra-wideband (UWB) technology for indoor localization, human detection in disaster scenarios, and the development of sensor-driven solutions for rescue robots. Her most notable contribution is the 2013 paper "New Method for Localization and Human Being Detection using UWB Technology: Helpful Solution for Rescue Robots," which tackles two critical challenges in search-and-rescue robotics: accurate positioning in GPS-denied environments and reliable human detection. By integrating UWB technology with sensors such as thermal cameras, ultrasonic devices, and microphones, Pistea proposed a novel approach that enhances the autonomy and effectiveness of rescue robots in complex, obstacle-filled settings. Though her citation count is modest—with four citations for her leading work—her research addresses a pressing real-world need, offering practical solutions that could save lives. Her work demonstrates a thoughtful blend of theoretical innovation and applied engineering, making it a valuable reference for students and researchers exploring robotics, sensor fusion, and emergency response technologies.
Research Focus
Key Achievements
Top Papers
- 1