Yumna Anwar

Papers

Total Citations

H-Index

About

Yumna Anwar is a researcher at the intersection of robotics, artificial intelligence, and healthcare technology. Her work focuses on developing intelligent, autonomous systems that can assist in medical and caregiving environments, with a particular emphasis on human-robot interaction and deep learning. Anwar’s most cited paper, “Robots in Healthcare: A Survey” (2019, 44 citations), provides a comprehensive overview of robotic applications in clinical settings, establishing her as a key voice in this rapidly evolving field. In her follow-up work, “A Deep Learning Based Autonomous Mobile Robotic Assistive Care Giver” (2019), she introduces a novel theoretical framework for autonomous agents inspired by the five human senses, aiming to enhance verbal communication and decision-making in assistive robots. Though early in her career, Anwar’s contributions are shaping how robots can be integrated into patient care, offering a vision of more empathetic and responsive machines. Her research is particularly relevant for students and engineers interested in the convergence of AI, robotics, and real-world healthcare challenges.