A Theoretical Review of Human-Robot Interaction: The Evolution and Generational Development of Socially Autonomous Robots

This presentation reviews the evolution of Human–Robot Interaction (HRI) through a generational framework, based on a systematic analysis of peer-reviewed literature. It highlights the progression from pre-programmed machines to socially autonomous robots with advanced cognitive and interactive capabilities.
Motivated by the aging population and the shortage of healthcare professionals, the work proposes a socially interactive Digital Twin nurse that leverages multimodal interaction to provide adaptive support. The presentation also outlines key challenges and future directions for socially collaborative robotic systems.

Committee: Oliver Eulenstein (major professor), Ashraf Gaffar (major professor), Adisak Sukul, Ali Jannesari and Mohamed Youssef Selim