AMR : influencing factors and potentials of cloud-robotics

Abstract

In recent decades, automated guided vehicles (AGV) have become the symbol of automated material flows in intralogistics. Technological progress helps AGVs to achieve an ever-higher degree of autonomy, enables free navigation and has led to AGVs nowadays increasingly being called autonomous mobile robots (AMR). This constant technological progress requires that the field and use of AMR be constantly reviewed and improvements sought. One potential approach, especially to make AMR fleets more efficient, flexible and scalable for future deployment, is cloud-robotics, whose main advantage is the on-demand provisioning of various IT-services. The aim of this paper is to determine the currently critical influencing factors regarding efficient AMR deployment and to highlight possible combinations of AMRs with a cloud. The influencing factors are determined by means of a systematic literature review (SLR) and completed and verified by means of an application-oriented reference process. The result is an overview of the currently critical influencing factors, prevailing deployment barriers and future potentials of AMRs.