Sarah da e Silva

Instituto Federal de Educação, Ciência e Tecnologia do Ceará

Papers

Total Citations

H-Index

About

Sarah da e Silva has established herself as a key voice in the intersection of computer vision and autonomous robotics. Her research primarily focuses on developing robust localization systems for mobile robots, leveraging cutting-edge visual perception techniques to solve real-world navigation challenges. Her most cited work, the 2022 systematic review "New trends on computer vision applied to mobile robot localization," has garnered 8 citations, serving as a critical resource for researchers by analyzing the latest technologies and assessing the state-of-the-art in visual-based robot positioning. Beyond this landmark review, da e Silva is recognized for identifying the persistent challenges that hinder full autonomy—such as environmental variability and sensor limitations—and for proposing innovative solutions that push the boundaries of what mobile robots can achieve. Her contributions are particularly valuable for students and engineers seeking a clear, comprehensive roadmap through the rapidly evolving landscape of visual localization, making her a respected guide in the field.