Skill-based Dynamic Task Allocation in Human-Robot-Cooperation with the Example of Welding Application

Abstract

Due to technological and organizational boundary conditions, it is often difficult to solve the problem of automation for assembly processes. The development of such automation is subject to technological challenges and economical risks due to a high number of part variants as well as the complexity of reliably managed assembly processes. One solution for the flexible and skill-based automation of processes is represented in Human-Robot-Cooperation for the assembly of high quality machines for the medical industry. Instead of an inflexible, fully automated approach, a semi-automated method is being developed that can be easily controlled by the operator on the shop floor. Therefore, know-how gained from manual processes will be efficiently transferred into the assembly system.