Robot-assisted autism spectrum disorder diagnostics using POMDPs (CROSBI ID 646156)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Petric, Frano ; Miklić, Damjan ; Kovačić, Zdenko
engleski
Robot-assisted autism spectrum disorder diagnostics using POMDPs
The proposed research is aimed towards developing models for control and assessment of child-robot interaction within a robot-assisted autism spectrum disorder diagnostic protocol. The robot-assisted protocol contains several tasks which consist of robot actions to elicit the interaction and observations through which the robot perceives the behaviour of the child. Tasks of the protocol are modelled using the partially observable Markov decision process (POMDP) model, which enables the robot to autonomously choose actions and assess the interaction. Assessment is based on the robot belief state related to the unobservable state of the child. The protocol is modelled using hierarchical POMDP model enabling the robot to autonomously select the sequence of tasks within the protocol. The effectiveness of the developed models will be experimentally evaluated through examinations with multiple children in clinical settings.
NAO robot, autism, POMDP, robot assisted diagnostics
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Podaci o prilogu
369-370.
2017.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the HRI PIONEERS 2017 Workshop
Beč: The Association for Computing Machinery (ACM)
978-1-4503-4885-0
Podaci o skupu
The 2017 Conference on Human-Robot Interaction (HRI2017), HRI PIONEERS 2017 Workshop
predavanje
06.03.2017-09.03.2017
Beč, Austrija