The results of work done by LARICS researcher Dr. sc. Frano Petric and his coauthors on autism disorder observation with a robot evaluator have been published in the International Journal of Humanoid Robotics (World Scientific) in the article entitled “POMDP-Based Coding of Child–Robot Interaction within a Robot-Assisted ASD Diagnostic Protocol”. The existing procedures for autism spectrum disorder (ASD) diagnosis are often time consuming and tiresome both for highly-trained human evaluators and children, which may be alleviated by using humanoid robots in the diagnostic process. Hence, this paper proposes a framework for robot-assisted ASD evaluation based on partially observable Markov decision process (POMDP) modeling, specifically POMDPs with mixed observability (MOMDPs). POMDP is broadly used for modeling optimal sequential decision-making tasks under uncertainty. The article is accessible at the following IJHR link.