Socially intelligent robots that understand and respond to human touch

Merel Madeleine Jung

Research output: ThesisPhD Thesis - Research UT, graduation UTAcademic

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Abstract

Touch is an important nonverbal form of interpersonal interaction which is used to communicate emotions and other social messages. As interactions with social robots are likely to become more common in the near future these robots should also be able to engage in tactile interaction with humans. Therefore, the aim of the research presented in this dissertation is to work towards socially intelligent robots that can understand and respond to human touch. To become a socially intelligent actor a robot must be able to sense, classify and interpret human touch and respond to this in an appropriate manner. To this end we present work that addresses different parts of this interaction cycle.

The contributions of this dissertation are the following. We have made a touch gesture dataset available to the research community and have presented benchmark results. Furthermore, we have sparked interest into the new field of social touch recognition by organizing a machine learning challenge and have pinpointed directions for further research. Also, we have exposed potential difficulties for the recognition of social touch in more naturalistic settings. Moreover, the findings presented in this dissertation can help to inform the design of a behavioral model for robot pet companions that can understand and respond to human touch. Additionally, we have focused on the requirements for tactile interaction with robot pets for health care applications.
Original languageEnglish
Awarding Institution
  • University of Twente
Supervisors/Advisors
  • Heylen, Dirk K.J., Supervisor
  • Poel, Mannes , Supervisor
Award date28 Jun 2017
Place of PublicationEnschede
Publisher
Print ISBNs978-90-365-4364-4
DOIs
Publication statusPublished - Jun 2017

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Intelligent robots
Robots
Health care
Learning systems

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Jung, Merel Madeleine. / Socially intelligent robots that understand and respond to human touch. Enschede : University of Twente, 2017. 139 p.
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Socially intelligent robots that understand and respond to human touch. / Jung, Merel Madeleine.

Enschede : University of Twente, 2017. 139 p.

Research output: ThesisPhD Thesis - Research UT, graduation UTAcademic

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