Smart hardware integration with advanced robot programming technologies for efficient reconfiguration of robot workcells

•Modular and largely passive hardware components aimed towards cost-effective, autonomous workcell reconfiguration.•A software backbone based on ROS, which provides modularity of all software components.•Fast programming of assembly tasks through kinesthetic guidance and script-based state machine d...

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Vydáno v:Robotics and computer-integrated manufacturing Ročník 66; s. 101979
Hlavní autoři: Gašpar, Timotej, Deniša, Miha, Radanovič, Primož, Ridge, Barry, Savarimuthu, T. Rajeeth, Kramberger, Aljaž, Priggemeyer, Marc, Roßmann, Jürgen, Wörgötter, Florentin, Ivanovska, Tatyana, Parizi, Shahab, Gosar, Žiga, Kovač, Igor, Ude, Aleš
Médium: Journal Article
Jazyk:angličtina
Vydáno: Oxford Elsevier Ltd 01.12.2020
Elsevier BV
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ISSN:0736-5845, 1879-2537
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Shrnutí:•Modular and largely passive hardware components aimed towards cost-effective, autonomous workcell reconfiguration.•A software backbone based on ROS, which provides modularity of all software components.•Fast programming of assembly tasks through kinesthetic guidance and script-based state machine description methods supported by visual programming interfaces.•Support for quick workcell reconfiguration by manipulating and exchanging the available hardware components, facilitated by a digital twin. The manufacturing industry is seeing an increase in demand for more custom-made, low-volume production. This type of production is rarely automated and is to a large extent still performed manually. To keep up with the competition and market demands, manufacturers will have to undertake the effort to automate such manufacturing processes. However, automating low-volume production is no small feat as the solution should be adaptable and future proof to unexpected changes in customers’ demands. In this paper, we propose a reconfigurable robot workcell aimed at automating low-volume production. The developed workcell can adapt to the changes in manufacturing processes by employing a number of passive, reconfigurable hardware elements, supported by the ROS-based, modular control software. To further facilitate and expedite the setup process, we integrated intuitive, user-friendly robot programming methods with the available hardware. The system was evaluated by implementing five production processes from different manufacturing industries.
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ISSN:0736-5845
1879-2537
DOI:10.1016/j.rcim.2020.101979