Of the six research papers presented on this Research Topic, three have been conducted with children with autism. Chevalier et al. investigated the effect of sensory sensitivity during robot training in children with ASD. The authors observed that visual and auditory sensitivity influenced improvements in the ability to initiate joint attention. Vora et al. investigated the affordability of developmentally appropriate toys and play areas provided by mobile SARs. The purpose of this study was to assess the role of SARs on children’s physical activity, play behavior, and toy use behavior during free play. The results of this research suggest that a mobile SAR offers affordability through rewards that elicit more time for children’s interaction with the SAR and free play. Baraka et al., suitable action sequences in robot-assisted autism therapy have been investigated. The authors found that an exploratory study of eleven children with autism highlighted the usefulness and limitations of different modes in relation to a variety of possible interaction goals. They demonstrated that personalized robots could be used in the short- and long-term. They mentioned that it paved the way to balance the objective goals in such assistive therapies. Zehfroosh and Tanner, the authors presented a novel hybrid probabilistic approximation reinforcement learning algorithm for Markov decision processes that intelligently retains the advantageous features of both model-based and model-free methods. An experimental implementation of DDQ in the context of pediatric motor rehabilitation facilitated by interaction between infants and robots highlighted the potential benefits of the described method. Ligthart et al. described two studies of children learning about autonomous SARs. The authors found similarities between how children form relationships with humans and how children form relationships with robots. And Feng et al., a robot-assisted platform for music therapy of children with ASD was developed and investigated.