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DREAM: Development of Robot-Enhanced therapy for children with AutisM spectrum disorders

Project Number: 611391

Project Manager: Dr. Mark Coeckelbergh

Faculty of Electrical Engineering, Mathematics and Computer Science

Tel.: +31-53-4893285

Email: m.coeckelbergh@utwente.nl

Project website:

Summary

In clinical interventions, skill transfer from therapist to children with autism spectrum disorders (ASD) benefits from the inclusion of expressive artefacts such as puppets and animated characters. Well-designed robotic agents have proven to be particularly effective and are becoming an increasingly important tool for mediating between therapists and ASD children in robot-assisted therapy (RAT). However, therapeutic interventions require significant human resources over extended periods. Consequently, to make a significant difference, therapeutic robots need to have a greater degree of autonomy than current remote-controlled systems. Furthermore, they have to act on more than just the child’s directly-observable movements because emotions and intentions are even more important for selecting effective therapeutic responses.

The next generation of RAT, which we refer to as robot-enhanced therapy (RET), will be able to infer the ASD children’s psychological disposition and assess their behaviour in order to select therapeutic actions. Since children require therapy tailored to individual needs RET robots will provide this too. Driven by therapists, DREAM will deliver next-generation RET, developing clinical interactive capacities for supervised autonomy therapeutic robots; robots that can operate autonomously for limited periods under the supervision of a therapist. The DREAM robot will also function as a diagnostic tool by collecting clinical data on the patient. It will operate under strict ethical rules and the DREAM project will provide policy guidelines to govern ethically-compliant deployment of supervised autonomy RET.

The core of the DREAM RET robot is its cognitive model which interprets sensory data (body movement and emotion appearance cues), uses these percepts to assess the child’s behaviour by learning to map them

to therapist-specified behavioural classes, and then learns to map these child behaviours to appropriate therapist-specified robot actions.

Project duration: April 2014 – September 2018

Project budget: 8.7 M-€ / 6.7 M-€ funding

Number of person/months: 913 person months

Project Coordinator: HOGSKOLAN I SKOVDE

Participants: HOGSKOLAN I SKOVDE, VRIJE UNIVERSITEIT BRUSSEL, UNIVERSITATEA BABES BOLYAI, UNIVERSITY OF PLYMOUTH, UNIVERSITY OF PORTSMOUTH HIGHER EDUCATION CORPORATION, UNIVERSITEIT TWENTE, ALDEBARAN ROBOTICS SA

Project budget CTIT: 720 k-€ / 541 k-€ funding

Number of person/months CTIT: 63 person months

Involved groups: Philosophy (Phil)

CTIT Research Centre: Centre for Service and Interaction Robotics