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About

Claire Le Goues is a prominent software engineering researcher whose work sits at the intersection of robotics software, automated testing, and software reliability. Her research has made substantial contributions to understanding and improving how robotic and autonomous systems are developed, tested, and validated — challenges that carry real-world consequences as these systems increasingly enter consumer and industrial environments. Le Goues has been particularly influential in advancing simulation-based testing methodologies for robotics, arguing that virtual environments offer a cheaper, safer, and more scalable alternative to traditional field testing. Her widely cited 2020 study on challenges in testing robotic systems (85 citations) helped crystallize the unique difficulties that hardware-software integration poses for software quality assurance. Complementary work on robustness testing (52 citations) and anomaly detection as a test oracle for cyberphysical systems highlights her commitment to safety-critical software engineering. Her investigations into the Robot Operating System (ROS) ecosystem have further illuminated how real-world robotics software is collaboratively built and architecturally misconfigured in practice. Collectively, her body of work — spanning empirical studies, tool development, and foundational frameworks — has helped establish rigorous scientific foundations for robotics software engineering, making her an indispensable reference for researchers and practitioners in this rapidly evolving field.