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Semantics-based platform for context-aware and personalized robot interaction in the internet of robotic things

Christof Mahieu (UGent) , Femke Ongenae (UGent) , Femke De Backere (UGent) , Pieter Bonte (UGent) , Filip De Turck (UGent) and Pieter Simoens (UGent)
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Abstract
Robots are moving from well-controlled lab environments to the real world, where an increasing number of environments has been transformed into smart sensorized IoT spaces. Users will expect these robots to adapt to their preferences and needs, and even more so for social robots that engage in personal interactions. In this paper, we present declarative ontological models and a middleware platform for building services that generate interaction tasks for social robots in smart IoT environments. The platform implements a modular, data-driven workflow that allows developers of interaction services to determine the appropriate time, content and style of human-robot interaction tasks by reasoning on semantically enriched loT sensor data. The platform also abstracts the complexities of scheduling, planning and execution of these tasks, and can automatically adjust parameters to the personal profile and current context. We present motivational scenarios in three environments: a smart home, a smart office and a smart nursing home, detail the interfaces and executional paths in our platform and present a proof-of-concept implementation. (C) 2018 Elsevier Inc. All rights reserved.
Keywords
CONTINUOUS-CARE, MANAGEMENT, MIDDLEWARE, ONTOLOGY, DEVICES, TRUST, Internet of things, Personalization, Semantics, Ontology, Context-aware, systems, Social robots

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Citation

Please use this url to cite or link to this publication:

MLA
Mahieu, Christof et al. “Semantics-based Platform for Context-aware and Personalized Robot Interaction in the Internet of Robotic Things.” JOURNAL OF SYSTEMS AND SOFTWARE 149 (2019): 138–157. Print.
APA
Mahieu, C., Ongenae, F., De Backere, F., Bonte, P., De Turck, F., & Simoens, P. (2019). Semantics-based platform for context-aware and personalized robot interaction in the internet of robotic things. JOURNAL OF SYSTEMS AND SOFTWARE, 149, 138–157.
Chicago author-date
Mahieu, Christof, Femke Ongenae, Femke De Backere, Pieter Bonte, Filip De Turck, and Pieter Simoens. 2019. “Semantics-based Platform for Context-aware and Personalized Robot Interaction in the Internet of Robotic Things.” Journal of Systems and Software 149: 138–157.
Chicago author-date (all authors)
Mahieu, Christof, Femke Ongenae, Femke De Backere, Pieter Bonte, Filip De Turck, and Pieter Simoens. 2019. “Semantics-based Platform for Context-aware and Personalized Robot Interaction in the Internet of Robotic Things.” Journal of Systems and Software 149: 138–157.
Vancouver
1.
Mahieu C, Ongenae F, De Backere F, Bonte P, De Turck F, Simoens P. Semantics-based platform for context-aware and personalized robot interaction in the internet of robotic things. JOURNAL OF SYSTEMS AND SOFTWARE. New york: Elsevier Science Inc; 2019;149:138–57.
IEEE
[1]
C. Mahieu, F. Ongenae, F. De Backere, P. Bonte, F. De Turck, and P. Simoens, “Semantics-based platform for context-aware and personalized robot interaction in the internet of robotic things,” JOURNAL OF SYSTEMS AND SOFTWARE, vol. 149, pp. 138–157, 2019.
@article{8603541,
  abstract     = {Robots are moving from well-controlled lab environments to the real world, where an increasing number of environments has been transformed into smart sensorized IoT spaces. Users will expect these robots to adapt to their preferences and needs, and even more so for social robots that engage in personal interactions. In this paper, we present declarative ontological models and a middleware platform for building services that generate interaction tasks for social robots in smart IoT environments. The platform implements a modular, data-driven workflow that allows developers of interaction services to determine the appropriate time, content and style of human-robot interaction tasks by reasoning on semantically enriched loT sensor data. The platform also abstracts the complexities of scheduling, planning and execution of these tasks, and can automatically adjust parameters to the personal profile and current context. We present motivational scenarios in three environments: a smart home, a smart office and a smart nursing home, detail the interfaces and executional paths in our platform and present a proof-of-concept implementation. (C) 2018 Elsevier Inc. All rights reserved.},
  author       = {Mahieu, Christof and Ongenae, Femke and De Backere, Femke and Bonte, Pieter and De Turck, Filip and Simoens, Pieter},
  issn         = {0164-1212},
  journal      = {JOURNAL OF SYSTEMS AND SOFTWARE},
  keywords     = {CONTINUOUS-CARE,MANAGEMENT,MIDDLEWARE,ONTOLOGY,DEVICES,TRUST,Internet of things,Personalization,Semantics,Ontology,Context-aware,systems,Social robots},
  language     = {eng},
  pages        = {138--157},
  publisher    = {Elsevier Science Inc},
  title        = {Semantics-based platform for context-aware and personalized robot interaction in the internet of robotic things},
  url          = {http://dx.doi.org/10.1016/j.jss.2018.11.022},
  volume       = {149},
  year         = {2019},
}

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