Aledir Silveira Pereira
Papers
2
Total Citations
26
H-Index
2
About
Aledir Silveira Pereira is a researcher specializing in autonomous mobile robotics, artificial intelligence, and bioinspired computing. His work focuses on developing intelligent navigation and control systems for robots operating in challenging, dynamic environments—such as plantations, hazardous industrial sites, or disaster zones—where human intervention is risky or impractical. Pereira’s major contributions include the application of machine learning techniques to robotic control. His most-cited paper (17 citations) compares Support Vector Machines and Artificial Neural Networks for recognizing steering angles in mobile robots navigating plantation paths, demonstrating how computational models can replace human operators in dangerous tasks. He also pioneered a neurogenetic algorithm (9 citations) that combines Artificial Neural Networks with Genetic Algorithms for route planning, enhanced by a low-cost vision system, enabling autonomous navigation in unpredictable settings. Pereira’s work exemplifies the synergy between evolutionary computation and neural networks, advancing the field of autonomous robotics. His research not only pushes the boundaries of AI-driven mobility but also offers practical solutions for agriculture, exploration, and rescue missions, making him a notable figure in applied robotics and intelligent systems.
Research Focus
Key Achievements
Top Papers
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