%0 Journal Article %1 muller2021industrial %A Müller, Manuel %A Müller, Timo %A Talkhestani, Behrang Ashtari %A Marks, Philipp %A Jazdi, Nasser %A Weyrich, Michael %D 2021 %J at - Automatisierungstechnik, vol. 69, no. 1, pp. 3–13, 08.01.2021 %K 2021ias ias %R doi.org/10.1515/auto-2020-0131 %T Industrial autonomous systems: a survey on definitions, characteristics and abilities %U https://www.degruyter.com/view/journals/auto/69/1/article-p3.xml %X Advances in the domain of industrial automation systems and artificial intelligence research have brought autonomous systems into the focus of industrial automation research. However, as Hrabia et al. state, there is no common understanding of what autonomous systems are and what characterizes them: “there is still a lack of a widely accepted concept of autonomous systems or robots that contains a detailed definition according to different aspects and a clear distinction to other system concepts” 1. They conclude “the capability of adapting to the environment is strongly interconnected with autonomy”1. However, they do not derive a comprehensive definition. On the one hand, some systems are advertised as autonomous systems, although they are only highly automated systems. On the other hand, some autonomous systems are not labeled as such. In addition, a number of different properties have emerged that characterize an autonomous system as well as abilities attributed to autonomous systems. In order to provide a differentiated view on this topic, the relevant literature in the domain of industrial automation systems was investigated for this survey. The methodology of the investigation is described in Section 2. Starting with the historical development of the term autonomy, in Section 3, various definitions of autonomy are compared, and a summarizing definition is elaborated. From the definition in the narrow sense, the characteristics of industrial autonomous systems are derived (Section 3.1) and a distinction from intelligent industrial automation systems and classic automation systems is proposed (Section 3.2). Reviewing the abilities attributed to industrial autonomous systems in the literature, the abilities are categorized according to the characteristics (Section 4). In order to provide an example for the classification of systems as industrial autonomous systems based on the four derived characteristics, their manifestation is explored by three real-world examples (Section 5). Finally, Section 6 provides a conclusion and an outlook.

@article{muller2021industrial, abstract = {Advances in the domain of industrial automation systems and artificial intelligence research have brought autonomous systems into the focus of industrial automation research. However, as Hrabia et al. state, there is no common understanding of what autonomous systems are and what characterizes them: “there is still a lack of a widely accepted concept of autonomous systems or robots that contains a detailed definition according to different aspects and a clear distinction to other system concepts” [1]. They conclude “the capability of adapting to the environment is strongly interconnected with autonomy”[1]. However, they do not derive a comprehensive definition. On the one hand, some systems are advertised as autonomous systems, although they are only highly automated systems. On the other hand, some autonomous systems are not labeled as such. In addition, a number of different properties have emerged that characterize an autonomous system as well as abilities attributed to autonomous systems. In order to provide a differentiated view on this topic, the relevant literature in the domain of industrial automation systems was investigated for this survey. The methodology of the investigation is described in Section 2. Starting with the historical development of the term autonomy, in Section 3, various definitions of autonomy are compared, and a summarizing definition is elaborated. From the definition in the narrow sense, the characteristics of industrial autonomous systems are derived (Section 3.1) and a distinction from intelligent industrial automation systems and classic automation systems is proposed (Section 3.2). Reviewing the abilities attributed to industrial autonomous systems in the literature, the abilities are categorized according to the characteristics (Section 4). In order to provide an example for the classification of systems as industrial autonomous systems based on the four derived characteristics, their manifestation is explored by three real-world examples (Section 5). Finally, Section 6 provides a conclusion and an outlook.}, added-at = {2021-01-11T14:50:21.000+0100}, author = {Müller, Manuel and Müller, Timo and Talkhestani, Behrang Ashtari and Marks, Philipp and Jazdi, Nasser and Weyrich, Michael}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/23b5841a8fed8ffc2319c8e8cdb763b47/taylansngerli}, doi = {doi.org/10.1515/auto-2020-0131}, interhash = {6fc7da40bd154bbe1720ce79f81a3ae5}, intrahash = {3b5841a8fed8ffc2319c8e8cdb763b47}, issn = {0178-2312}, journal = {at - Automatisierungstechnik, vol. 69, no. 1, pp. 3–13, 08.01.2021}, keywords = {2021ias ias}, timestamp = {2021-04-22T11:50:25.000+0200}, title = {Industrial autonomous systems: a survey on definitions, characteristics and abilities }, url = {https://www.degruyter.com/view/journals/auto/69/1/article-p3.xml}, year = 2021 }