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

被引:50
作者
Gaspar, Timotej [1 ]
Denisa, Miha [1 ]
Radanovic, Primoz [1 ]
Ridge, Barry [1 ]
Savarimuthu, T. Rajeeth [2 ]
Kramberger, Aljaz [1 ,2 ]
Priggemeyer, Marc [3 ]
Rossmann, Juergen [3 ]
Woergoetter, Florentin [4 ]
Ivanovska, Tatyana [4 ]
Parizi, Shahab [5 ]
Gosar, Ziga [6 ]
Kovac, Igor [1 ]
Ude, Aled [1 ,7 ]
机构
[1] Jozef Stefan Inst, Dept Automat Biocybernet & Robot, Humanoid & Cognit Robot Lab, Jamova Cesta 39, Ljubljana 1000, Slovenia
[2] Univ Southern Denmark, Maersk McKinney Moller Inst, DK-5230 Odense M, Denmark
[3] Rhein Westfal TH Aachen, Inst Man Machine Interact, Ahornstr 55, D-52074 Aachen, Germany
[4] Georg August Univ Gottingen, Bernstein Ctr Computat Neurosci, Phys Inst 3, Friedrich Hund Pl, D-37077 Gottingen, Germany
[5] Blue Ocean Robot, Niels Bohrs Alle 185, DK-5220 Odense SO, Denmark
[6] Elvez Doo, Ulica Antona Tomsica 35, Visnja Gora 1294, Slovenia
[7] Univ Ljubljana, Fac Elect Engn, Trzaska Cesta 25, Ljubljana 1000, Slovenia
基金
欧盟地平线“2020”;
关键词
Reconfigurable manufacturing systems; Passive reconfigurable hardware; ROS; Programming by demonstration; Industry; 4.0; MANUFACTURING SYSTEMS; DESIGN; KEY;
D O I
10.1016/j.rcim.2020.101979
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
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.
引用
收藏
页数:17
相关论文
共 46 条
[1]  
Akella P, 1999, ICRA '99: IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-4, PROCEEDINGS, P728, DOI 10.1109/ROBOT.1999.770061
[2]  
[Anonymous], 2012, ROBOTIK 2012
[3]  
[Anonymous], 2009, ICRA WORKSH OP SOURC
[4]  
Arai T, 2000, CIRP ANNALS 2000: MANUFACTURING TECHNOLOGY, P1
[5]   A survey of robot learning from demonstration [J].
Argall, Brenna D. ;
Chernova, Sonia ;
Veloso, Manuela ;
Browning, Brett .
ROBOTICS AND AUTONOMOUS SYSTEMS, 2009, 57 (05) :469-483
[6]  
Bem M, 2017, 2017 18TH INTERNATIONAL CONFERENCE ON ADVANCED ROBOTICS (ICAR), P61, DOI 10.1109/ICAR.2017.8023497
[7]   Development of reconfigurable machines [J].
Bi, Z. M. ;
Lang, Sherman Y. T. ;
Verner, M. ;
Orban, P. .
INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2008, 39 (11-12) :1227-1251
[8]   Reconfigurable manufacturing systems: the state of the art [J].
Bi, Z. M. ;
Lang, S. Y. T. ;
Shen, W. ;
Wang, L. .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2008, 46 (04) :967-992
[9]   Flexible fixture design and automation: Review, issues and future directions [J].
Bi, ZM ;
Zhang, WJ .
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2001, 39 (13) :2867-2894
[10]   Reconfi gurable Manufacturing Systems in Small and Medium Enterprises [J].
Brunoe, Thomas Ditlev ;
Andersen, Ann-Louise ;
Nielsen, Kjeld .
MANAGING COMPLEXITY, 2017, :205-213