Andrew Rae

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About

Andrew Rae’s research lies at the intersection of autonomous systems, safety engineering, and verification, with a particular focus on ensuring that robots can operate reliably without human oversight. His most influential work, the 2015 paper “Situation coverage – a coverage criterion for testing autonomous robots,” has garnered 35 citations and introduced a novel testing paradigm that addresses a critical gap in robotics: unlike traditional software, autonomous robots must contend with an unbounded variety of real-world situations. Rae’s major contribution is the concept of “situation coverage,” a systematic criterion for evaluating whether a robot has been tested across a sufficiently diverse range of scenarios. This framework helps engineers identify blind spots in simulation and testing, ultimately making autonomous systems safer and more robust. His work is particularly impactful for fields like self-driving cars, drones, and service robots, where failure in an untested situation can have serious consequences. Rae’s research is notable for bridging theoretical coverage metrics with practical engineering needs, offering a structured approach to a problem that has long challenged the robotics community.