Larissa H. Oliveira
Papers
2
Total Citations
16
H-Index
2
About
Larissa H. Oliveira is a rising leader in intelligent control systems and robotics, specializing in bioinspired algorithms for autonomous navigation. Her research focuses on overcoming the limitations of conventional PID controllers in nonlinear systems by integrating artificial neural networks and swarm intelligence. Her most cited work, "Hardware Implementation of a GMDH Controller for Mobile Robot Obstacle Following/Avoidance" (2023, 9 citations), demonstrates how Group Method of Data Handling (GMDH) neural networks can replace traditional controllers for more efficient, adaptive obstacle avoidance. Building on this, her 2024 paper (7 citations) introduces a novel PID controller with online tuning using Particle Swarm Optimization (PSO), enabling real-time adaptation for nonholonomic mobile robots. Together, these contributions represent a significant step toward more robust, autonomous robotic systems. Oliveira’s work has already garnered attention for its practical hardware implementations and innovative fusion of classical control theory with modern computational intelligence. Her research is particularly valuable for students and engineers seeking to bridge the gap between theoretical control methods and real-world robotic applications, offering scalable solutions for dynamic environments.
Research Focus
Key Achievements
Top Papers
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- 2