Onias Castelo Branco Silveira
Papers
2
Total Citations
11
H-Index
2
About
Onias Castelo Branco Silveira is a robotics researcher whose work focuses on the critical challenge of enabling real-time visual Simultaneous Localization and Mapping (SLAM) on resource-constrained embedded platforms. His research addresses the computational bottleneck of SLAM—a foundational problem for autonomous navigation in GPS-denied environments—by developing algorithms that balance accuracy with the limited processing power of embedded systems. In his most cited work (2020, 9 citations), Silveira systematically evaluated the feasibility of running a state-of-the-art visual SLAM solution on embedded hardware, demonstrating that recent advances in microprocessor technology make real-time performance achievable. His earlier foundational study (2019, 2 citations) laid the groundwork by designing a dedicated embedded algorithm optimized for complex map creation under computational constraints. This work has direct implications for critical applications such as search-and-rescue missions, where robots must operate autonomously in hazardous, communication-limited areas. Silveira’s contributions bridge the gap between theoretical SLAM research and practical deployment, making autonomous navigation more accessible for real-world, low-power robotic systems.
Research Focus
Key Achievements
Top Papers
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