Catherine Menon

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About

Dr. Catherine Menon is a pioneering researcher at the intersection of robotics, ethics, and safety engineering. Her work focuses on developing frameworks to ensure that assistive robots are not only technically reliable but also ethically acceptable across diverse user populations. Dr. Menon’s most-cited paper, “How a Robot’s Social Credibility Affects Safety Performance” (2019, 5 citations), explores the critical link between a robot’s perceived trustworthiness and its ability to operate safely—a foundational insight for human-robot interaction. She also contributed the “Robot House Human Activity Recognition Dataset” (2021, 2 citations), addressing the pressing need for large, labelled datasets to train deep learning models for activity recognition, a notoriously challenging computer vision task. Her recent work, “X-HAZOP: A Family of Techniques for Ethical Hazard Analysis of Assistive Robots” (2025, 1 citation), introduces a novel adaptation of hazard analysis to systematically identify ethical risks, particularly for marginalized users who may be disproportionately affected by robotic systems. Through these contributions, Dr. Menon is shaping a future where robots are both safe and socially just.