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Robot-Enhanced Therapy: Development and Validation of Supervised Autonomous Robotic System for Autism Spectrum Disorders Therapy

Version 4 2024-03-12, 17:33
Version 3 2023-10-29, 14:25
journal contribution
posted on 2024-03-12, 17:33 authored by Hoang-Long Cao, Pablo G. Esteban, Albert De Beir, Daniel Hernandez, James Kennedy, Honghai Liu, Silviu Matu, Alexandre Mazel, Amit Pandey, Kathleen Richardson, Emmanuel Senft, Serge Thill, Madeleine Bartlett, Greet Van de Perre, Bram Vanderborght, David Vernon, Kutoma Wakanuma, Hui Yu, Xiaolong Zhou, Tom Ziemke, Paul BaxterPaul Baxter, Tony Belpaeme, Erik Billing, Haibin Cai, Mark Coeckelbergh, Cristina Costescu, Daniel David
<p>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.</p>

History

School affiliated with

  • School of Computer Science (Research Outputs)

Publication Title

IEEE Robotics & Automation Magazine

Volume

26

Issue

2

Pages/Article Number

49-58

Publisher

IEEE

ISSN

1070-9932

eISSN

1558-223X

Date Submitted

2019-06-20

Date Accepted

2019-03-01

Date of First Publication

2019-04-09

Date of Final Publication

2019-06-30

Date Document First Uploaded

2019-06-14

ePrints ID

36203

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