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

A personalized and platform-independent behavior control system for social robots in therapy: development and applications. Cao, H., Van De Perre, G., Kennedy, J., Senft, E., Gomez Esteban, P., De Beir, A., Simut Vanderborght, R., Belpaeme, T., Lefeber, D., & Vanderborght, B. IEEE Transactions on Cognitive and Developmental Systems, PP(99):1--13, IEEE, 1, 2018.
abstract bibtex

Social robots have been proven beneficial in different types of healthcare interventions. An ongoing trend is to develop (semi-)autonomous socially assistive robotic system in healthcare context to improve the level of autonomy and reduce human workload. This paper presents a behavior control system forsocial 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 profile and responses during the human-robot interaction. Robot behaviors are designed atabstract levels and can be transferred to different social robot platforms. We adopt the component-based software engineering approach to implement our proposed architecture allowing developed components to be replaceable and reusable. We introduce three different experimental scenarios to validate the usability of our system. Results show that the system is potentially applicableto 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.

@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 system in healthcare context to improve the level of autonomy and reduce human workload. This paper presents a behavior control system forsocial 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 profile and responses during the human-robot interaction. Robot behaviors are designed atabstract levels and can be transferred to different social robot platforms. We adopt the component-based software engineering approach to implement our proposed architecture allowing developed components to be replaceable and reusable. We introduce three different experimental scenarios to validate the usability of our system. Results show that the system is potentially applicableto 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.",
  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",
  volume    = "PP",
  pages     = "1--13",
  journal   = "IEEE Transactions on Cognitive and Developmental Systems",
  issn      = "2379-8920",
  publisher = "IEEE",
  number    = "99",
}

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