This paper describes an imaging system that was developed to aid industrial bin picking tasks. The purpose of this system was to provide accurate 3D models of parts and objects in the bin, so that precise grasping operations could be performed. The technology described here is based on two types of sensors: range mapping scanners and video cameras. The geometry of bin contents was reconstructed from range maps and modeled using superquadric representations, providing location and parts surface information that can be employed to guide the robotic arm. Texture was also provided by the video streams and applied to the recovered models. The system is expected to improve the accuracy and efficiency of bin sorting and represents a step toward full automation.
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March 01 2003
Laser ranging and video imaging for bin picking Available to Purchase
Faysal Boughorbel;
Faysal Boughorbel
Faysal Boughorbel is based at Imaging, Robotics and Intelligent Systems Lab, Department of Electrical and Computer Engineering, The University of Tennessee, Knoxville, USA.
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Yan Zhang;
Yan Zhang
Yan Zhang is based at Imaging, Robotics and Intelligent Systems Lab, Department of Electrical and Computer Engineering, The University of Tennessee, Knoxville, USA.
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Sangkyu Kang;
Sangkyu Kang
Sangkyu Kang is based at Imaging, Robotics and Intelligent Systems Lab, Department of Electrical and Computer Engineering, The University of Tennessee, Knoxville, USA.
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Umayal Chidambaram;
Umayal Chidambaram
Umayal Chidambaram is based at Imaging, Robotics and Intelligent Systems Lab, Department of Electrical and Computer Engineering, The University of Tennessee, Knoxville, USA.
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Besma Abidi;
Besma Abidi
Besma Abidi is based at Imaging, Robotics and Intelligent Systems Lab, Department of Electrical and Computer Engineering, The University of Tennessee, Knoxville, USA.
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Andreas Koschan;
Andreas Koschan
Andreas Koschan is based at Imaging, Robotics and Intelligent Systems Lab, Department of Electrical and Computer Engineering, The University of Tennessee, Knoxville, USA.
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Mongi Abidi
Mongi Abidi
Mongi Abidi is based at Imaging, Robotics and Intelligent Systems Lab, Department of Electrical and Computer Engineering, The University of Tennessee, Knoxville, USA.
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Publisher: Emerald Publishing
Online ISSN: 1758-4078
Print ISSN: 0144-5154
© MCB UP Limited
2003
Assembly Automation (2003) 23 (1): 53–59.
Citation
Boughorbel F, Zhang Y, Kang S, Chidambaram U, Abidi B, Koschan A, Abidi M (2003), "Laser ranging and video imaging for bin picking". Assembly Automation, Vol. 23 No. 1 pp. 53–59, doi: https://doi.org/10.1108/01445150310460097
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