direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Inhalt des Dokuments


Service-oriented Robotic Manufacturing System: Lessons Learned from Participating in the World Robot Challenge 2018
Zitatschlüssel wrc2018
Autor Ole Kröger and Jan Guhl and Oliver Heimann and Manuel Katanacho and Carsten Niebuhr and Martin Rudorfer and Tayyip Özkaya and Jonas Wassermann and Johannes Hügle and Tessa Pannen and Jörg Krüger
Jahr 2019
Journal Tagungsband des 4. Kongresses Montage Handhabung Industrieroboter
Zusammenfassung In order to manage fast changing market and customer requirements, production systems need to become more and more flexible. Therefore, the World Robot Challenge fosters the development of new agile manufacturing systems and evaluates them under tough conditions. In this paper, we introduce our service-oriented robotic system with which we participated in the challenge. The distributed software architecture covers four components: Robot Controller, Vision Module, Configuration Server and Process Controller. In order to enable a fast hardware setup, we used one collaborative robot and developed additional jigs and tools to solve the tasks. During development and testing under competitive conditions, we experienced the immediate benefits and drawbacks of our distributed architecture and its individual components. As a result, we can improve the partitioning of our services. The object detection based on a Convolutional Neural Network had to deal with false classifications due to changing lighting conditions. The combination of rough position estimation by using a global camera and a precise calibrated wrist camera for the visual servoing has turned out to be an essential element.
Download Bibtex Eintrag

Zusatzinformationen / Extras


Schnellnavigation zur Seite über Nummerneingabe