Casidhe Hutchison

Papers

Total Citations

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About

Casidhe Hutchison is a leading researcher in the safety and reliability of autonomous systems, with a focus on robustness testing and fault diagnosis for robotic software. Her foundational work, "Robustness testing of autonomy software" (2018, 52 citations), established critical methodologies for ensuring that robotic systems behave safely under unexpected inputs—a cornerstone for deploying autonomy in industrial and human-interactive settings. Building on this, she developed a novel approach in "Detecting Execution Anomalies As an Oracle for Autonomy Software Robustness" (2020), using system monitoring and clustering to identify execution anomalies without requiring explicit error models. Most recently, her 2024 paper on "Active Learning Omnivariate Decision Trees for Fault Diagnosis in Robotic Systems" introduces human-interpretable descriptions of failure conditions, leveraging active learning to streamline debugging of complex robotic systems. With a cumulative impact of over 60 citations, Hutchison’s work bridges the gap between traditional software testing and the unique challenges of autonomy, offering practical tools for safer, more resilient robots. Her contributions are essential reading for engineers and researchers tackling the pressing problem of verifying autonomous system behavior in the real world.