Title: Knowledge-based auto-configuration system using ubiquitous robotics for services delivery in smart home

Authors: Mustafa Al-Khawaldeh; Xi Chen; Philip Moore; Ibrahim Al-Naimi

Addresses: Mechatronics Engineering Department, Faculty of Engineering, Philadelphia University, P.O. Box 19392, Amman, Jordan ' Mechatronics Research Centre, Faculty of Technology, De Montfort University, Queens Building, Leicester, LE1 9BH, UK ' Mechatronics Research Centre, Faculty of Technology, De Montfort University, Queens Building, Leicester, LE1 9BH, UK ' Mechatronics Engineering Department, Faculty of Engineering, Philadelphia University, P.O. Box 19392, Amman, Jordan

Abstract: The wide availability of services and devices within contemporary smart home environments makes their management a challenging and rewarding task. Maintaining complex smart home systems throughout their lifecycle entails considerable resources and effort. These challenges have stimulated the need for dynamic auto-configurable services amongst such distributed systems. This research aims to devise methods to automate the activities associated with customised service delivery for dynamic home environments by exploiting recent advances in the field of ubiquitous robotics and semantic web technologies. It introduces a novel approach called the knowledge-based auto-configuration ubiquitous robotics for smart home environments, which utilises the Sobot to achieve auto-configuration of the system. A proof-of-concept testbed has been designed, implemented and validated via several case studies. The results show that the Sobot is capable of creating and executing new or alternative feasible configurations to meet the system's goal by utilising inferred facts based on the smart home ontological model, so that the system can adapt to the changed environment.

Keywords: smart home; ubiquitous robotics; service delivery; semantic web; knowledge-based auto-configuration systems.

DOI: 10.1504/IJES.2019.098294

International Journal of Embedded Systems, 2019 Vol.11 No.2, pp.182 - 199

Received: 04 Jul 2016
Accepted: 19 Mar 2017

Published online: 07 Mar 2019 *

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