Norian Marranghello
Papers
2
Total Citations
26
H-Index
2
About
Norian Marranghello is a leading researcher in autonomous mobile robotics and bioinspired intelligent systems, with a strong focus on agricultural and dynamic environment applications. His work bridges artificial intelligence and robotics, particularly through the integration of machine learning and evolutionary computation for real-time navigation and control. Marranghello’s most cited paper (2013, 17 citations) pioneered the comparison of Support Vector Machines and Artificial Neural Networks for steering angle recognition in mobile robots navigating plantation paths—a critical contribution to precision agriculture and hazardous environment exploration. He further advanced the field with his 2018 study (9 citations) introducing a neurogenetic algorithm that combines Artificial Neural Networks with Genetic Algorithms for route planning in dynamic settings, featuring a low-cost vision system that makes autonomous navigation more accessible. His research demonstrates how bioinspired algorithms can solve complex robotic challenges, from crop monitoring to rescue missions, while maintaining computational efficiency. Marranghello’s work is notable for its practical impact on agricultural robotics and its clear, reproducible methodologies that inspire new generations of roboticists and AI researchers.
Research Focus
Key Achievements
Top Papers
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