Suane Pires P. da Silva
Instituto Federal de Educação, Ciência e Tecnologia do Ceará, Universidade Federal do Ceará
Papers
3
Total Citations
68
H-Index
3
About
Dr. Suane Pires P. da Silva is a leading researcher in mobile robotics and intelligent control systems, with a focus on enhancing autonomy and precision in robotic platforms. Her work spans trajectory control, topological localization, and machine learning for robotic perception. Dr. da Silva’s most influential paper, "Control of singularity trajectory tracking for robotic manipulator by genetic algorithms" (2018, 49 citations), introduces a novel genetic algorithm-based method to manage singularities in robotic manipulators, ensuring smooth and accurate trajectory tracking—a critical advancement for industrial and service robotics. She has also made significant strides in mobile robot localization, proposing innovative approaches that combine convolutional neural networks (CNNs) and structural co-occurrence matrices with topological maps and classification with reject option. Her 2018 paper on CNN-based localization in omnidirectional images (11 citations) demonstrates how deep learning can robustly extract features for navigation, even under ambiguous conditions. Her 2017 work (8 citations) further refines this by using structural co-occurrence matrices to improve classification reliability. With over 68 total citations, Dr. da Silva’s research is shaping the future of autonomous navigation and control, offering practical solutions for robots operating in complex, real-world environments.
Research Focus
Key Achievements
Top Papers
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