Real-time cognitive technical systems, a learning material processing system, social and future aspects

Abstract

Most of the robots today are used in production systems and the potential for assistive robots is high. Therefore, this paper demonstrates an architecture for real-time cognitive technical systems that are applicable for assistive and production robots with at least two sensor data input streams and one actuator to be controlled. An application of this architecture can be demonstrated by using a robotic production system that learns from a human expert, using different dimensionality reduction and classifier techniques such as Isometric feature mapping, Support Vector Machines, and Fuzzy k-Nearest Neighbor classification. This paper also contains a social study on the impact of research in Artificial Intelligence (AI) and cognitive technical systems. The study offers a synopsis of the history of AI and forecasts the social impact that intelligent robotic assistance has on the areas of automotive, medical care, production systems, and private homes.