How to build a supervised autonomous system for robot-enhanced therapy for children with autism spectrum disorder
- Submitting institution
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University of Portsmouth
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 25020117
- Type
- D - Journal article
- DOI
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10.1515/pjbr-2017-0002
- Title of journal
- Paladyn: Journal of Behavioral Robotics
- Article number
- -
- First page
- 18
- Volume
- 8
- Issue
- 1
- ISSN
- 2081-4836
- Open access status
- Compliant
- Month of publication
- May
- Year of publication
- 2017
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
23
- Research group(s)
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B - Computational Intelligence
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- We present ground-breaking research in which an autonomous system is developed to rehabilitate children with Autism Spectrum Disorder (ASD). The developed system outperforms human therapists by 10%. This paper presents results of an EU-funded DREAM project (http://dream2020.eu), which has triggered new solutions for ASD children’s rehabilitation. It has influenced prominent work in robot-enhanced ASD therapy (e.g. Rudovic et al, Science Robotics 3(19)) and underpins a REF2021 impact case study from the University of Portsmouth.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -