Edna Barros
Papers
8
Total Citations
28
H-Index
4
About
Edna Barros is a leading researcher in autonomous multi-robot systems, with a primary focus on the RoboCup Small Size League (SSL). Her work addresses the critical challenge of increasing robot autonomy by moving beyond centralized vision systems toward embedded, on-board perception and control. Barros has made major contributions in real-time object detection and position estimation using monocular vision, as demonstrated in her 2023 paper on ground-aware detection (4 citations). She also developed the "RobôCIn SSL-Unification," a modular software architecture for dynamic multi-robot coordination (2024, 3 citations), and pioneered a telemetry-based PI tuning strategy for omnidirectional robot control (2022, 2 citations). Her research has produced key datasets and benchmarks for embedded object detection and self-localization, each garnering 5 and 2 citations respectively. With over 28 total citations across her most-cited works, Barros is shaping the future of autonomous robotics in highly dynamic environments. Her notable achievement includes leading the development of an optimized wireless control and telemetry network for mobile soccer robots (2022, 6 citations), a foundational contribution to the SSL community.
Research Focus
Key Achievements
Top Papers
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- 3Towards an Autonomous RoboCup Small Size League Robot4 citations · 2022
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