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About

Norbert Michael Mayer is a pioneering researcher in robotics and multi-agent systems, with a focus on bridging simulation and real-world applications. His work centers on developing intelligent robotic platforms for education, competition, and service, particularly through the lens of robot soccer and humanoid robotics. Mayer's major contributions include the creation of a novel minirobotics system for teaching and researching agent-based programming, which integrates mature multi-agent robotic soccer technologies into a versatile educational platform. He also advanced the field by exploring how simulation and humanoid leagues can mutually benefit each other, as seen in his work on the "3D2Real" project that transitioned simulation league finals to real robots. With over 86 citations across his most-cited papers, his impact is evident in foundational works like "Convolutional Neural Networks for Image Processing with Applications in Mobile Robotics" (16 citations) and "Robot Soccer World Cup XV" (21 citations). Notable achievements include the development of the artistic robot "Jumping Joe" and the ubiquitous home care robot using Nao and Choregraphe, showcasing his ability to merge technical rigor with creative and practical applications.