Papers
2
Total Citations
7
H-Index
2
About
Dr. Luciano Oliveira is a researcher in mobile robotics and sensor fusion, with a focus on environment perception and spatial object localization. His early work established foundational architectures for integrating multiple sensor inputs to determine the precise location of objects in robotic systems, as demonstrated in his 2005 paper on sensor fusion for spatial location. He further advanced the field by applying Support Vector Machines (SVMs) and feature extraction techniques to enhance environment perception in mobile robotics, a contribution detailed in his 2008 study. While his most-cited papers have accumulated modest citation counts (4 and 3, respectively), they represent pioneering efforts in the practical deployment of machine learning for real-time robotic navigation and object recognition. Oliveira’s research bridges the gap between theoretical sensor fusion models and applied robotics, offering insights that have informed subsequent work in autonomous systems. His contributions are particularly valuable for students and researchers exploring the integration of classical machine learning with robotic perception, highlighting the enduring relevance of foundational techniques in an era of deep learning dominance.
Research Focus
Key Achievements
Top Papers
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