E. Afreen Banu
Papers
1
Total Citations
6
H-Index
1
About
Dr. E. Afreen Banu is a researcher advancing intelligent systems for autonomous navigation, with a particular focus on agricultural robotics. Her most cited work, “A System to Track the Behaviour or Pattern of Mobile Robot Through RNN Technique” (2024, 6 citations), addresses critical challenges in field robot navigation—including obstacle detection, route planning, mapping, localization, and control—by leveraging recurrent neural networks to model and predict robot behavior patterns. This contribution is especially significant for the agricultural sector, where mobile robots must operate reliably in unstructured crop environments. Dr. Banu’s research sits at the intersection of robotics, machine learning, and precision agriculture, aiming to enhance the autonomy and efficiency of farming operations. Her work demonstrates how deep learning techniques can be applied to solve real-world navigation problems, offering a pathway toward smarter, more responsive agricultural robots. As the demand for automation in agriculture grows, Dr. Banu’s contributions provide foundational methods for tracking and improving robot performance in the field.
Research Focus
Key Achievements
Top Papers
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