首页|Heriot Watt University Researcher Publishes Findings in Robotics (Anomaly Detect ion Methods in Autonomous Robotic Missions)
Heriot Watt University Researcher Publishes Findings in Robotics (Anomaly Detect ion Methods in Autonomous Robotic Missions)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on robotics is the subjec t of a new report. According to news originating from Edinburgh, United Kingdom, by NewsRx correspondents, research stated, "Since 2015, there has been an incre ase in articles on anomaly detection in robotic systems, reflecting its growing importance in improving the robustness and reliability of the increasingly utili zed autonomous robots." Funders for this research include Heriot Watt University Edinburgh. Our news correspondents obtained a quote from the research from Heriot Watt Univ ersity: "This review paper investigates the literature on the detection of anoma lies in Autonomous Robotic Missions (ARMs). It reveals different perspectives on anomaly and juxtaposition to fault detection. To reach a consensus, we infer a unified understanding of anomalies that encapsulate their various characteristic s observed in ARMs and propose a classification of anomalies in terms of spatial , temporal, and spatiotemporal elements based on their fundamental features." According to the news reporters, the research concluded: "Further, the paper dis cusses the implications of the proposed unified understanding and classification in ARMs and provides future directions. We envisage a study surrounding the spe cific use of the term anomaly, and methods for their detection could contribute to and accelerate the research and development of a universal anomaly detection system for ARMs."
Heriot Watt UniversityEdinburghUnite d KingdomEuropeAutonomous RobotEmerging TechnologiesMachine LearningRo boticsRobots
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