Robot_Enhanced_Therapy__Large_emph_textbf_Development_and_Validation_of_a_Supervised_Autonomous_Robotic_System_for_Autism_Spectrum_Disorders_Therapy.pdf (1.85 MB)
Robot-enhanced therapy: Development and validation of supervised autonomous robotic system for autism spectrum disorders therapy
journal contribution
posted on 2019-10-09, 08:21 authored 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 ZiemkeRobot-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 MagazineVolume
26Issue
2Pages
49 - 58Publisher
IEEEVersion
- AM (Accepted Manuscript)
Rights holder
© IEEEPublisher 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
2019-04-05Copyright date
2019ISSN
1070-9932eISSN
1558-223XLanguage
- en