Computer system based on reasoning methods to support the selection of industry robots

The paper presents a method, based on engineering knowledge and experience, designated for the computer-aided process of selecting an industrial robot with a tool. The proposed approach uses the CBR (Case Based Reasoning) method. CBR is an algorithm that allows solving new problems basing on solutions of similar cases accomplished in the past. This method is based on searching for analogies (similarities) between a new problem and previously completed tasks. This method is based on the assumption that all similar tasks have similar solutions. Due to the problem of an "empty database" in the case of systems based on the CBR method, a hybrid architecture of the system was proposed, which combining the advisory system and the CBR method. The algorithm of operation of the proposed method and its formalized description are presented.