Investigation of Error Detection in Assembled Workpieces Using an Augmented Vision System

摘要

Within the Cluster of Excellence “Integrative Production Technology for High-Wage Countries” at the Faculty of Mechanical Engineering of RWTH Aachen University, a research project has been initiated to study self-optimizing assembly cells and to design innovative ergonomic human-machine interfaces (HMI). A novel architecture of the cell's numerical control forms the technological basis of this approach. This control is able to take over tasks from the machining operator. An experimental assembly cell was designed. In the scenario, two robots carry out a certain repertoire of coordinated pick and place operations with small workpieces. In order to support the human operator while monitoring and intervening in the case of errors, an Augmented Vision System is designed and developed. The experimental study deals with the ergonomic visualization of assembly information in order to support the human operator detecting assembly errors in workpieces.