Max Robotics — Global Service Robot Directory + US Certification

About

Michael Reitman is a researcher whose work sits at the compelling intersection of robotics, artificial intelligence, and STEM education, with a particular focus on preparing students for the demands of Industry 4.0. His research has consistently explored how intelligent, connected robot systems — including digital twins, augmented reality interfaces, and collaborative sensing technologies — can be leveraged as powerful pedagogical tools for high school and university-level learners. Reitman's most cited work, "Robot Online Learning Through Digital Twin Experiments: A Weightlifting Project" (2017, 29 citations), exemplifies his signature approach: using engaging, hands-on robotics challenges to demystify machine learning and autonomous systems for students. His subsequent contributions expanded this vision, investigating robot connectivity and collaborative sensing in enrichment programs (25 citations) and developing educational paradigms tailored to the Industry 4.0 era (16 citations). His augmented reality work further illustrates his commitment to immersive, technology-forward learning experiences. Across his portfolio, Reitman has accumulated over 90 citations, reflecting meaningful influence within the educational robotics community. His research offers educators and curriculum designers a practical, research-backed framework for integrating intelligent robotics into modern classrooms.