An Architecture for Safe Child–Robot Interactions in Autism Interventions

Autism Spectrum Disorder is a developmental disorder that affects children from very young age and characterized by persistent deficits in social, communicational, behavioral abilities. Since there no cure for autism, domain experts focus on aiding these through specific intervention plans are aimed towards the development of deficient areas. Using socially assistive robots interact social manner with autism interventions, efforts being made alleviating autistic behavior enhancing their behavior. However, implementing interventions could lead to harmful situations concerning safety. In this paper, an architecture safe child–robot interactions proposed. First, taxonomy presented, explaining its complete framework. Next, interaction modelled according where case employed order structure be defined. Based that, safety proposed will integrated into robot’s controller. Focus placed detecting possible distracting elements influence performance child, affecting psychological or physical Lastly, between child robot created simulated environment dialogue inputs outputs, code tested, virtual performs appropriate actions.