M. A. Pastrana
Papers
10
Total Citations
54
H-Index
4
About
M. A. Pastrana is a researcher specializing in mobile robotics, intelligent control systems, and engineering education technology. Their work sits at the intersection of advanced control theory and practical robotics applications, with a particular focus on developing data-driven and behavior-based methodologies for nonholonomic mobile robots navigating real-world challenges such as obstacle avoidance and path following. Pastrana's most influential contributions include pioneering the application of data-driven control (DDC) to SISO mobile robot systems (12 citations) and advancing hardware implementations of GMDH-based neural network controllers as effective alternatives to conventional PID approaches (9 citations). Their research consistently explores bioinspired optimization algorithms — including Moth-Flame Optimization, Particle Swarm Optimization, and the Whale Optimization Algorithm — to tune and enhance controller performance in nonlinear robotic environments. Beyond technical research, Pastrana has made notable strides in robotics pedagogy, developing virtual laboratory methodologies using CoppeliaSim and extending robotics education into Brazilian public high schools, even leveraging mobile robots to teach disease prevention awareness. With over 50 cumulative citations across a concentrated body of recent work, Pastrana is an emerging voice shaping both the technical and educational frontiers of mobile robotics and intelligent control systems.
Research Focus
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Top Papers
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