Padmaja Kadiri
Papers
1
Total Citations
6
H-Index
1
About
Dr. Padmaja Kadiri is a leading researcher at the intersection of robotics and artificial intelligence, with a primary focus on intelligent navigation systems for autonomous mobile robots. Her work is particularly transformative for the agricultural sector, where she addresses critical challenges in crop-field robotics. Dr. Kadiri’s most cited contribution, "A System to Track the Behaviour or Pattern of Mobile Robot Through RNN Technique" (2024, 6 citations), pioneers the use of recurrent neural networks to solve complex navigation problems. This paper systematically tackles obstacle detection, route planning, mapping, localization, and control—offering a unified framework that enables robots to learn and adapt their movement patterns in dynamic agricultural environments. By integrating deep learning with robotic behavior tracking, her research bridges the gap between theoretical AI models and practical field deployment. Dr. Kadiri’s work is essential reading for students and engineers developing autonomous systems for precision agriculture, as it provides both a methodological foundation and a proven approach for creating more intelligent, responsive farming robots.
Research Focus
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Top Papers
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