Rapid 2D Positioning of Multiple Complex Objects for Pick and Place Application Using Convolutional Neural Network

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F20%3A39916799" target="_blank" >RIV/00216275:25530/20:39916799 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/ICSTCC50638.2020.9259696" target="_blank" >http://dx.doi.org/10.1109/ICSTCC50638.2020.9259696</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/ICSTCC50638.2020.9259696" target="_blank" >10.1109/ICSTCC50638.2020.9259696</a>

Result language
angličtina
Original language name
Rapid 2D Positioning of Multiple Complex Objects for Pick and Place Application Using Convolutional Neural Network
Original language description
Robot guidance in an industrial environment is an important task to be solved in modern production facilities. A pick and place task is definitely one of the most common robot guidance issues to solve. In the beginning of the pick and place task, we need to perform a precise positioning of the objects of interest. In this contribution, an innovative engineering approach to multiple object positioning is proposed. The approach consists of two consecutive steps. At first, the original scene with objects of interest is transformed using a neural network. The output of this transformation is a schematic image, which represents the positions of the objects with gradient circles of various colors. Then, the positions of the gradient circles are determined by finding local maxima in the transformed image. The proposed approach is tested on a legitimate positioning problem with more than 99.8 % accuracy.
Czech name
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Czech description
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Project
<a href="/en/project/EF17_049%2F0008394" target="_blank" >EF17_049/0008394: Cooperation in Applied Research between the University of Pardubice and companies, in the Field of Positioning, Detection and Simulation Technology for Transport Systems (PosiTrans)</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
24th international conference on system theory, control and computing, ICSTCC 2020 : proceedings
ISBN
978-1-72819-809-5
ISSN
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e-ISSN
—
Number of pages
5
Pages from-to
213-217
Publisher name
IEEE (Institute of Electrical and Electronics Engineers)
Place of publication
New York
Event location
ONLINE
Event date
Oct 8, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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