Robot_Enhanced_Therapy__Large_emph_textbf_Development_and_Validation_of_a_Supervised_Autonomous_Robotic_System_for_Autism_Spectrum_Disorders_Therapy.pdf (1.85 MB)
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Robot-enhanced therapy: Development and validation of supervised autonomous robotic system for autism spectrum disorders therapy

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journal contribution
posted on 09.10.2019, 08:21 by Hoang-Long Cao, Pablo G. Esteban, Madeleine Bartlett, Paul Baxter, Tony Belpaeme, Erik Billing, Haibin CaiHaibin Cai, Mark Coeckelbergh, Cristina Costescu, Daniel David, Albert De Beir, Daniel Hernandez, James Kennedy, Honghai Liu, Silviu Matu, Alexandre Mazel, Amit Pandey, Kathleen Richardson, Emmanuel Senft, Serge Thill, Greet Van de Perre, Bram Vanderborght, David Vernon, Kutoma Wakanuma, Hui Yu, Xiaolong Zhou, Tom Ziemke
Robot-assisted therapy (RAT) offers potential advantages for improving the social skills of children with autism spectrum disorders (ASDs). This article provides an overview of the developed technology and clinical results of the EC-FP7-funded Development of Robot-Enhanced therapy for children with AutisM spectrum disorders (DREAM) project, which aims to develop the next level of RAT in both clinical and technological perspectives, commonly referred to as robot-enhanced therapy (RET). Within this project, a supervised autonomous robotic system is collaboratively developed by an interdisciplinary consortium including psychotherapists, cognitive scientists, roboticists, computer scientists, and ethicists, which allows robot control to exceed classical remote control methods, e.g., Wizard of Oz (WoZ), while ensuring safe and ethical robot behavior. Rigorous clinical studies are conducted to validate the efficacy of RET. Current results indicate that RET can obtain an equivalent performance compared to that of human standard therapy for children with ASDs. We also discuss the next steps of developing RET robotic systems.

Funding

European Commission’s Seventh Framework Program as part of the DREAM project under grant 611391

History

School

  • Science

Department

  • Computer Science

Published in

IEEE Robotics and Automation Magazine

Volume

26

Issue

2

Pages

49 - 58

Publisher

IEEE

Version

AM (Accepted Manuscript)

Rights holder

© IEEE

Publisher statement

© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Publication date

2019-04-05

Copyright date

2019

ISSN

1070-9932

eISSN

1558-223X

Language

en

Depositor

Haibin Cai