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Open AccessArticle

Self-Organization and Self-Coordination in Welding Automation with Collaborating Teams of Industrial Robots

APS GmbH—European Centre for Mechatronics, Vaalser Str. 460, 52074 Aachen, Germany
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Academic Editor: Robert Parkin
Machines 2016, 4(4), 23; https://doi.org/10.3390/machines4040023
Received: 31 August 2016 / Revised: 7 November 2016 / Accepted: 24 November 2016 / Published: 30 November 2016
(This article belongs to the Special Issue Mechatronics: Intelligent Machines)
In welding automation, growing interest can be recognized in applying teams of industrial robots to perform manufacturing processes through collaboration. Although robot teamwork can increase profitability and cost-effectiveness in production, the programming of the robots is still a problem. It is extremely time consuming and requires special expertise in synchronizing the activities of the robots to avoid any collision. Therefore, a research project has been initiated to solve those problems. This paper will present strategies, concepts, and research results in applying robot operating system (ROS) and ROS-based solutions to overcome existing technical deficits through the integration of self-organization capabilities, autonomous path planning, and self-coordination of the robots’ work. The new approach should contribute to improving the application of robot teamwork and collaboration in the manufacturing sector at a higher level of flexibility and reduced need for human intervention. View Full-Text
Keywords: industrial robots; collaboration; autonomy; self-organization; trajectory planning; collision avoidance; ROS-based control; simulation industrial robots; collaboration; autonomy; self-organization; trajectory planning; collision avoidance; ROS-based control; simulation
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MDPI and ACS Style

Starke, G.; Hahn, D.; Pedroza Yanez, D.G.; Ugalde Leal, L.M. Self-Organization and Self-Coordination in Welding Automation with Collaborating Teams of Industrial Robots. Machines 2016, 4, 23.

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