Max Robotics — Global Service Robot Directory + US Certification

About

Miguel Mayosky is an Argentine researcher whose work sits at the intersection of artificial intelligence, robotics, and bio-inspired computing. His research has made notable contributions to the field of autonomous mobile robot navigation, with a particular focus on applying evolutionary and biological principles to solve complex control and trajectory generation problems. Mayosky's most influential contribution, "Behavioral Control Through Evolutionary Neurocontrollers for Autonomous Mobile Robot Navigation" (2008), has garnered 36 citations and established his reputation in evolutionary robotics—an approach that uses neural networks shaped by evolutionary algorithms to produce intelligent robotic behavior. Building on this foundation, he explored artificial immune system paradigms as a means of coordinating robot behavior, demonstrating how the adaptive and distributed properties of biological immunity can inspire robust engineering solutions. His 2011 work on network-to-antibody robustness further extended these bio-inspired frameworks, accumulating 15 citations and highlighting the potential of immune-system models for fault-tolerant systems design. Across his body of work, Mayosky consistently bridges theoretical AI concepts with practical robotic implementation, offering students and researchers a compelling model of how biological metaphors can unlock new solutions in autonomous systems engineering.