Papers

3

Total Citations

65

H-Index

2

About

Suane Pires Pinheiro da Silva is a leading researcher in mobile robotics, with a primary focus on solving the fundamental challenge of robot localization. Her work bridges the gap between perception and navigation by developing innovative, sensor-fusion approaches that allow autonomous robots to determine their position in unknown environments. Her most impactful contribution, the 2019 paper "A new approach for mobile robot localization based on an online IoT system" (37 citations), pioneered a novel method that integrates Internet of Things data directly into the localization pipeline, enabling real-time, cloud-assisted positioning. Expanding on this, her 2020 work on monocular vision (26 citations) demonstrated how to extract depth maps from single RGB images, providing a cost-effective alternative to expensive LiDAR for navigation support. Dr. Pinheiro da Silva has also explored the intersection of machine learning and acoustics, using omnidirectional sonar images to create robust localization strategies. Her research is distinguished by its practical, systems-level thinking—combining IoT, computer vision, and AI to create scalable solutions that move robots from controlled labs into dynamic, real-world environments.

Research Focus

Key Achievements

2
H-Index
3
Papers
65
Total Citations
22
Avg Citations/Paper
🏆 Most Cited Paper
A new approach for mobile robot localization based on an online IoT system
37 citations · 2019
📈 Most Prolific Year: 2019 (2 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: Instituto Federal de Educação, Ciência e Tecnologia do Ceará, Universidade Federal do Ceará

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago