Assisted Hardware Selection for Industrial Collaborative Robots

Abstract

This paper presents a configuration framework for assisting shop floor operators in selecting a suitable hardware configuration from commercially available components. The primary focus of this work is the modeling of process, product, and equipment knowledge, and the design of a configurator tool implementing this knowledge. The configurator takes process and product information as input and derives a list of suitable components for the operator to choose from. The approach is verified through a preliminary study indicating the feasibility of the approach.