OPERA aims to make reliable robot programming more convenient for the end user. For this purpose, new tools are developed that allow the user to evaluate and optimize the robot's accuracy for specific workflows.
Collaborative robots, so-called CoBots, have made it possible to intuitively set up manufacturing processes through hand-guided programming. Medium-sized companies in particular benefit from this development by adapting an explorative approach. However, this procedure is associated with some finesses in terms of accuracy and error tolerances, so that until now, despite simple handling, an expert usually had to be consulted during programming. The OPERA project aims to change this situation by providing the end user with intuitive tools for analyzing and optimizing the reliability of manufacturing processes and work cells. To this end, probabilistic models describing the accuracy of the robot and its environment are being developed and exemplarily integrated into the latest generation of KUKA robot controllers. The developments will be carried out in cooperation with the Bavarian company Zollner and Rational as associated partners and evaluated on site using relevant use cases.