Luiz H. N. Oliveira
Papers
2
Total Citations
13
H-Index
2
About
Luiz H. N. Oliveira is a control systems and robotics researcher whose work bridges theoretical innovation with practical engineering education. His primary research areas include mobile robotics, intelligent control systems, and heuristic optimization algorithms for autonomous navigation. Oliveira’s major contributions focus on developing accessible, simulation-based teaching tools for control theory, exemplified by his highly cited 2023 paper on using mobile robot obstacle following/avoidance with CoppeliaSim and the Moth-Flame Optimization (MFO) algorithm—garnering 10 citations for its impact on virtual laboratory pedagogy. He has also advanced the application of artificial neural networks in agriculture, proposing a sub-optimal perceptron controller trained via the Whale Optimization Algorithm (WOA) for autonomous farming watering robots. His work demonstrates how heuristic search algorithms can enhance neural network learning for real-world deployment. Oliveira’s research is notable for its dual emphasis on educational innovation and practical robotics, making complex control concepts tangible for students while addressing pressing agricultural automation challenges. With a growing citation footprint, his contributions continue to influence both control engineering curricula and intelligent robotic system design.
Research Focus
Key Achievements
Top Papers
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