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A personalized and platform-independent behavior control system for social robots in therapy: development and applications. / Cao, Hoang-Long; Van De Perre, Greet; Kennedy, James; Senft, Emmanuel; Gomez Esteban, Pablo; De Beir, Albert; Simut Vanderborght, Ramona; Belpaeme, Tony; Lefeber, Dirk; Vanderborght, Bram.

In: IEEE Transactions on Cognitive and Developmental Systems, Vol. 11, No. 3, 8263227, 18.01.2018, p. 334-346.

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@article{61755b9dd0f348aab321293cd9a369ce,
title = "A personalized and platform-independent behavior control system for social robots in therapy: development and applications",
abstract = "Social robots have been proven beneficial in different types of healthcare interventions. An ongoing trend is to develop (semi-)autonomous socially assistive robotic systems in healthcare context to improve the level of autonomy and reduce human workload. This paper presents a behavior control system for social robots in therapies with a focus on personalization and platform-independence. This system architecture provides the robot an ability to behave as a personable character, which behaviors are adapted to user profiles and responses during the human-robot interaction. Robot behaviors are designed at abstract levels and can be transferred to different social robot platforms. We adopt the component-based software engineering approach to implement our proposed architecture to allow for the replaceability and reusability of the developed components. We introduce three different experimental scenarios to validate the usability of our system. Results show that the system is potentially applicable to different therapies and social robots. With the component-based approach, the system can serve as a basic framework for researchers to customize and expand the system for their targeted healthcare applications.",
keywords = "personalized behaviors, platform-independent., robot-assisted therapy, social robots, supervised autonomy",
author = "Hoang-Long Cao and {Van De Perre}, Greet and James Kennedy and Emmanuel Senft and {Gomez Esteban}, Pablo and {De Beir}, Albert and {Simut Vanderborght}, Ramona and Tony Belpaeme and Dirk Lefeber and Bram Vanderborght",
year = "2018",
month = "1",
day = "18",
doi = "10.1109/TCDS.2018.2795343",
language = "English",
volume = "11",
pages = "334--346",
journal = "IEEE Transactions on Cognitive and Developmental Systems",
issn = "2379-8920",
publisher = "IEEE",
number = "3",

}

RIS

TY - JOUR

T1 - A personalized and platform-independent behavior control system for social robots in therapy: development and applications

AU - Cao, Hoang-Long

AU - Van De Perre, Greet

AU - Kennedy, James

AU - Senft, Emmanuel

AU - Gomez Esteban, Pablo

AU - De Beir, Albert

AU - Simut Vanderborght, Ramona

AU - Belpaeme, Tony

AU - Lefeber, Dirk

AU - Vanderborght, Bram

PY - 2018/1/18

Y1 - 2018/1/18

N2 - Social robots have been proven beneficial in different types of healthcare interventions. An ongoing trend is to develop (semi-)autonomous socially assistive robotic systems in healthcare context to improve the level of autonomy and reduce human workload. This paper presents a behavior control system for social robots in therapies with a focus on personalization and platform-independence. This system architecture provides the robot an ability to behave as a personable character, which behaviors are adapted to user profiles and responses during the human-robot interaction. Robot behaviors are designed at abstract levels and can be transferred to different social robot platforms. We adopt the component-based software engineering approach to implement our proposed architecture to allow for the replaceability and reusability of the developed components. We introduce three different experimental scenarios to validate the usability of our system. Results show that the system is potentially applicable to different therapies and social robots. With the component-based approach, the system can serve as a basic framework for researchers to customize and expand the system for their targeted healthcare applications.

AB - Social robots have been proven beneficial in different types of healthcare interventions. An ongoing trend is to develop (semi-)autonomous socially assistive robotic systems in healthcare context to improve the level of autonomy and reduce human workload. This paper presents a behavior control system for social robots in therapies with a focus on personalization and platform-independence. This system architecture provides the robot an ability to behave as a personable character, which behaviors are adapted to user profiles and responses during the human-robot interaction. Robot behaviors are designed at abstract levels and can be transferred to different social robot platforms. We adopt the component-based software engineering approach to implement our proposed architecture to allow for the replaceability and reusability of the developed components. We introduce three different experimental scenarios to validate the usability of our system. Results show that the system is potentially applicable to different therapies and social robots. With the component-based approach, the system can serve as a basic framework for researchers to customize and expand the system for their targeted healthcare applications.

KW - personalized behaviors

KW - platform-independent.

KW - robot-assisted therapy

KW - social robots

KW - supervised autonomy

UR - http://www.scopus.com/inward/record.url?scp=85040928332&partnerID=8YFLogxK

U2 - 10.1109/TCDS.2018.2795343

DO - 10.1109/TCDS.2018.2795343

M3 - Article

VL - 11

SP - 334

EP - 346

JO - IEEE Transactions on Cognitive and Developmental Systems

JF - IEEE Transactions on Cognitive and Developmental Systems

SN - 2379-8920

IS - 3

M1 - 8263227

ER -

ID: 35971792