Designing Autonomous Systems

Abstract

<fig orientation="portrait" position="float" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <graphic orientation="portrait" position="float" xlink:href="henke-3137538.tif"/> </fig> <bold xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">Autonomous systems can</b> be found in areas such as automotives, robotics, avionics, industry automation, and many more. Such systems become increasingly “intelligent” with the rise of machine learning techniques. Designing such systems has, therefore, become even more complex since new parameters significantly increase the design space and capabilities of such systems. An overview of this complex design process that also includes test, verification, and so on is brought to us by the guest editors of this special issue, Selma Saidi, Dirk Ziegenbein, Jyotirmoy V. Deshmukh, and Rolf Ernst. The guest editors have selected four articles for this special issue. They also introduce the readers to this field in their overview article titled “Autonomous Systems Design: Charting a New Discipline,” which lays the foundation for understanding and awareness of the complexity when designing and testing autonomous systems. Thanks to the guest editors for this special issue that covers the <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">IEEE Design&amp;Test</i> topical area “systems of systems.”