Rasha Abdel Rahman

Papers

Total Citations

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About

Rasha Abdel Rahman is a pioneering researcher at the intersection of robotics, neuroscience, and psychology, whose work explores how humans and robots can communicate and collaborate more naturally. Her key research areas include human-robot interaction, language production, and the cognitive mechanisms underlying social coordination with artificial agents. In her most cited work (2021, 15 citations), she demonstrated that robots can facilitate human language production, revealing that people co-represent robotic agents during verbal communication—a finding with profound implications for designing more intuitive social robots. She has also contributed to interdisciplinary methodology, co-authoring a 2021 paper (11 citations) that distills lessons from integrating robotics, neuroscience, and psychology, and a 2020 paper (10 citations) that proposes predictive learning as a framework for modeling robot co-representation. By showing that humans treat robots as social partners in cognitive tasks, Abdel Rahman’s research challenges traditional boundaries between human and machine interaction. Her work is essential reading for students and researchers interested in socially aware robotics, cognitive science, and the future of human-machine collaboration.