Morteza Moradi

University of Zanjan, Shahid Beheshti University, Qom University of Technology, Qazvin Islamic Azad University, University of Catania

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About

Morteza Moradi is a researcher whose work sits at the intersection of robotics, artificial intelligence, and human-robot interaction. His research spans several interconnected domains, including robot navigation, autonomous decision-making, data mining in robotics, and federated learning systems. One of his early contributions explored variable priority strategies in maze-solving algorithms, demonstrating that dynamic movement priorities could significantly reduce robot travel time by minimizing unnecessary turns — a practical advancement with lasting relevance in autonomous navigation. Moradi has also investigated the human side of robotics, examining factors influencing robot acceptance and adoption, a critically underexplored dimension of the field. His work on soccer robotics introduced a crowdsourcing-based approach to decision-making, contributing to the long-standing challenge of developing robots capable of competing with human athletes by 2050. More recently, his research has extended into federated learning and human-in-the-loop optimization for robot navigation, reflecting his engagement with cutting-edge AI paradigms. With citations spanning multiple years and research threads, Moradi's body of work reflects a consistent commitment to bridging technical robotics challenges with real-world applicability and human-centered design principles.