Papers
6
Total Citations
140
H-Index
5
About
Leandro B. Marinho is a leading researcher in mobile robotics, specializing in autonomous navigation and localization. His work centers on integrating machine learning and computer vision to enable robots to determine their position in unfamiliar environments. Marinho’s key contributions include developing novel localization approaches that use topological maps combined with classification algorithms featuring a reject option—a technique that allows robots to abstain from uncertain classifications, improving reliability. His most cited paper, "A novel mobile robot localization approach based on topological maps using classification with reject option in omnidirectional images" (2016, 57 citations), demonstrates this innovation. He has also advanced sensor fusion, as seen in "Localization System for Autonomous Mobile Robots Using Machine Learning Methods and Omnidirectional Sonar" (2018, 34 citations), and explored deep learning with convolutional neural networks for feature extraction in omnidirectional images. Beyond localization, Marinho has contributed to environmental mapping through mosaic construction for territorial analysis. His cumulative work, with over 140 citations, has significantly enhanced the robustness and accuracy of autonomous robot navigation, making him a notable figure in the field.
Research Focus
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