Demand-driven implementation of Human-Robot-Interaction in manufacturing with service modelling

Abstract

By combining advantages of humans and robots in the manufacturing process Human-Robot-Interaction (HRI) can solve many problems of todays production industry. Nevertheless, it still lacks industrial applications of this promising solution. The reasons are various and can be seen in uncertainties according to safety and a natural lower technical maturity of new systems. Another reason is the absence of a quantitative analysis of the benefits HRI can provide for the users. An assessment of existing work places as well as a selection and evaluation of potential improvements HRI may provide helps to justify investments. Therefore, a decision-making tool for investments in HRI will enlarge the number of use cases. This paper presents an approach to help producing companies comparing possibilities of HRI by evaluating existing process data.

Systems-Theoretic Interdependence Analysis in Robot-Assisted Warehouse Management

“…An agreed methodology for functional allocation in automation issues is still unavailable (Delang et al, 2017), and there is a need for fully-informed, well-defined strategies (Lindström and Winroth, 2010). We consider our FRAM-IA framework as a contribution to support this goal, as it can produce a deeper understanding of the systemic effects from the transformed work practices brought by collaborative robots.…”

Enhanced service modelling for flexible demand‐driven implementation of human–robot interaction in manufacturing

“…• The objective choice for the end user. This paper is based on the previous work done by Fraunhofer IWU [4,7]. It is enhanced by validated case study results, including a realised HRI application.…”