Next generation service models of mobile autonomous assistants

TitleNext generation service models of mobile autonomous assistants
Publication TypeJournal Article
Year of Publication2023
AuthorsVenchova E, Georgiev V
JournalAnnuaire de l’Université de Sofia “St. Kliment Ohridski”. Faculté de Mathématiques et Informatique
Volume110
Start Page139
Pagination139-150
ISSN1313-9215 (Print) 2603-5529 (Online)
Keywordsassistive technologies, Autonomous and Intelligent Systems (AIS), Internet of Things (IoT), mobile autonomous assistants, sensor networks, wireless integrated network sensors
Abstract

In this paper, we present an evolution overview of the autonomous streaming-based services for mobile autonomous assistants in the human environment. In Section 1 we present the hypothesis that the technologies are in transition from fixed or portable and wearable devices to those in which the main function is based on independent and possibly self-initiated and remote-controlled movement of the devices. This transition is outlined and categorized in Section 2. Retrospectively, with the progress of the penetration and technologies of the fixed devices, they have evolved from those that function separately and in isolation to those that offer group services in networks of multiple devices known today as Internet of Things (IoT). Another point of our considerations is that consequently and analogously, mobile autonomous devices are also subject of evolution towards service models of multiple cooperating mobile devices. We propose a multidimensional and layered taxonomy for the basic case of isolated mobile autonomous systems for 1d-, 2d-, and 3d-movement models. Our classification covers both the functional and technological aspects of these systems as well as the possibility for grouping services. In Section 3 we consider the parameters of two exemplary platforms as use cases for the two movement modes. Although they represent different principles of movement (i.e. legged and wheeled movement) these examples clearly show a common pattern of service parameters. The movement pattern presented here includes space and time range, speed, range of sensory monitoring, as well as parameters characterizing obstacle surmountability. Finally, in the Conclusion we address the applicability of our parametrization for the purposes of standardization and interoperability the main conditions for the service implementation based on a scalable group of moving devices.

DOI10.60063/GSU.FMI.110.139-150
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