Common Contracts

Abstract

June 15th, 2021

• Filed
  June 15th, 2021

The flexibilization and intelligent design of multi-variant production systems plays a major role in mass customization. One major difficulty in such manufacturing systems is often the rapid retooling of production lines and workstations in order to respond as flexibly as possible to changing customer requirements and variants. In most cases, this also includes reprogramming of machines and robots, which have to be adapted to new work sequences. However, such a reprogramming overhead can be effectively reduced by endowing the workstation with the ability to autonomously understand the dynamic changes on the assembly sequence. The goal of the present work is to present a concept to automate such a reconfiguring process based on machine learning models and artificial intelligence. The proposed paradigm aims to highlight the role of the human-robot cooperation on the effective achievement of flexible multi- variant manufacturing in shared collaborative workspaces. In particular, the under