Fine localization of complex components for bin picking
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25530%2F18%3A39913564" target="_blank" >RIV/00216275:25530/18:39913564 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-030-01054-6_18" target="_blank" >http://dx.doi.org/10.1007/978-3-030-01054-6_18</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-030-01054-6_18" target="_blank" >10.1007/978-3-030-01054-6_18</a>
Alternative languages
Result language
angličtina
Original language name
Fine localization of complex components for bin picking
Original language description
The aim of this paper is to present verified parameters of a particular approach to one sub-procedure of the bin picking problem. To successfully implement an automatic bin picking application using a robotic arm, it is necessary, among others, to detect the precise position and rotation angle of a selected object. In this approach, the procedure is considered as a two step operation. The first step provides an initial guess of both position and rotation angle, while the second one should specify the pose as exactly as required for following operations. The goal of the paper is to determine a correct relation between those two mentioned steps, i.e. to specify the maximal possible degree of uncertainty provided by the first step so that the second step works correctly. The proposed problem is dealt with as an industrial contract and the results are clearly dependent on specific conditions. However, it can be plainly used as a first insight into the problematics of bin picking, and provide a good starting point for deeper investigations.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Intelligent Systems and Applications. IntelliSys 2018
ISBN
978-3-030-01053-9
ISSN
2194-5357
e-ISSN
neuvedeno
Number of pages
10
Pages from-to
246-255
Publisher name
Springer International Publishing AG
Place of publication
Cham
Event location
Londýn
Event date
Sep 6, 2018
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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