![]() ![]() In the receiver role, the robot simulates common behavioral responses of children withĪSD to the standardized actions, acting as an aid for providers in training. Generate personalized action sequences according to different child profiles. ![]() The action parameters needed to run these algorithms through empirical studies withĬhildren with ASD and psychology experts, and show that the algorithms are able to Robot action sequences that account for a range of receiver profiles. We contributeĪ family of algorithms for automated action selection, whose goal is to build cost-optimal (namely a child with ASD), following standardized interactive tasks. In the provider role, the robot proactively engages in assistive tasks with a human receiver Using therapy for Autism Spectrum Disorder (ASD)Īs a domain of focus, we explore two roles for a socially assistive robot: ‘provider’ and Of such robots by leveraging the structure of existing standardized human-human Motivated by these challenges, this thesis aims at augmenting the algorithmic capabilities In multi-modal behavior, operating with minimal expert intervention, and accommodating Some challenges for these robots include responding to and engaging Still lack robust interactive capabilities to allow them to carry out assistive tasks flexiblyĪnd autonomously. Despite their potential, current socially assistive robots In particular, sociallyĪssistive robots provide assistance primarily through social interaction, in healthcare, Robots have the tremendous potential of assisting people in their lives, allowing them toĪchieve goals that they would not be able to achieve by themselves. ![]()
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