SOLVING TRAVELING SALESMAN PROBLEM USING GENETIC ALGORITHM BASED ON EFFICIENT MUTATION OPERATOR

As rapid advancements continuously alter the way we do things and enhance our daily activities, these technologies are merely tailored for normal citizens causing people with special needs, including people with autism, to be left behind. In this 4IR era, technology such as robot technology is advancing very fast and this offers a very big opportunity for inclusion of students with special needs especially ASD since research has shown that ASD children gained advantages in many aspects by using robots in their learning process. This paper aims to present a list of existing robots that can be used to support ASD education, existing robot interactive recognition features that can be used to support ASD education, and elements of a framework for enhancing existing robot technology and recognition features to provide effective automated assistive learning technology for ASD education. A review of existing robots and robot recognition features that can be used to support ASD education were conducted. The review continued to reveal the elements of a framework for enhancing existing robot technology with recognition features to provide effective automated assistive learning technology for ASD education. The results are a report on four generations of robots and six humanoid robots that can be used for autism assistive learning. The outcome also includes eye tracking, face recognition and emotion recognition which are three important recognition methods embedded in the robots to make it interactive to humans and therefore suitable to be used to support ASD assistive learning. Last but not least are two conceptual frameworks proposed for enhancing learning effectiveness by using robots. The conceptual framework aims to provide automated assistive learning technology by enhancing existing robot technology and integrating new recognition features for ASD learning purposes