Mohammad Moradi

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

Papers

Total Citations

H-Index

About

Mohammad Moradi is a researcher at the intersection of robotics, human-robot interaction, and data-driven decision-making. His work explores how robots can be better accepted, adopted, and optimized through human-in-the-loop systems and crowdsourcing. Moradi’s most cited paper, “On robot acceptance and adoption: a case study” (11 citations), investigates the critical but often overlooked social and psychological factors that determine whether robotic technologies succeed in real-world settings. He extends this focus in “Learning decision making for Soccer Robots: A crowdsourcing-based approach” (9 citations), where he tackles the grand challenge of enabling autonomous soccer robots to make intelligent, adaptive decisions—a key milestone toward the RoboCup goal of beating human World Cup champions by 2050. Moradi also bridges robotics with data science in “Applications of data mining in robotics” (3 citations), highlighting how robots must collect, process, and learn from environmental data to perform complex tasks. His latest work, “Experience Sharing and Human-in-the-Loop Optimization for Federated Robot Navigation Recommendation” (2 citations, 2024), advances collaborative, privacy-preserving robot learning. Through these contributions, Moradi is shaping a future where robots are not only technically capable but also socially integrated and continuously improved by human feedback.