Personalised Behaviour Model for Autism Therapy
- In Robot-Assisted Therapy for children with Autism Spectrum Disorder, the therapists’ workload is increased due to the necessity of controlling the robot manually. The solution for this problem is to increase the level of autonomy of the system, namely the robot should interpret and adapt to the behaviour of the child under therapy. The problem that we are adressing is to develop a behaviour model that will be used for the robot decision-making process, which will learn how to adequately react to certain child reactions. We propose the use of the reinforcement learning technique for this task, where feedback for learning is obtained from the therapist’s evaluation of a robot’s behaviour.
| Document Type: | Conference Object |
|---|---|
| Language: | English |
| Author: | Michał Stolarz, Aleksandar Mitrevski, Mohammad Wasil, Paul Plöger |
| Parent Title (English): | Workshop on Social AI for Human-Robot Interaction of Human-Care Robots, Fully Virtual in association with ICSR2021, Nov. 12th, 2021 |
| Number of pages: | 2 |
| Date of first publication: | 2021/11/12 |
| Departments, institutes and facilities: | Fachbereich Informatik |
| Dewey Decimal Classification (DDC): | 0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik |
| Entry in this database: | 2022/03/02 |
