Marcelo Alejandro Tosini

Universidad Nacional del Centro de la Provincia de Buenos Aires

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About

Marcelo Alejandro Tosini is a researcher in robotics and artificial intelligence, with a primary focus on evolutionary robotics and autonomous navigation. His work centers on developing reactive control systems that enable mobile robots to navigate and avoid obstacles in unknown, static environments without relying on pre-programmed maps. Tosini’s key contribution lies in integrating artificial neural networks (ANNs) with evolutionary algorithms to evolve robot behaviors, allowing controllers to learn optimal trajectories between current positions and target points using only position sensor guidance. His most cited paper, “Evolutionary Reactive Behavior for Mobile Robots Navigation” (2005), has garnered 18 citations, demonstrating foundational impact in the field of evolutionary robotics. A related experimental study further validated these methods, reinforcing his approach to adaptive, sensor-driven navigation. Tosini’s research bridges computational intelligence and practical robotics, offering scalable solutions for autonomous systems that must operate in unfamiliar settings. His work is particularly relevant for students and researchers exploring bio-inspired control, evolutionary computation, and real-time robot navigation, providing a clear example of how evolutionary strategies can replace traditional path-planning algorithms in dynamic environments.