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Naslov:Object detection and graspability analysis for robotic bin-picking application in intralogistics
Avtorji:ID Bencak, Primož (Avtor)
ID Hercog, Darko (Avtor)
ID Lerher, Tone (Avtor)
Datoteke:URL https://icil2023.fsb.hr/images/ICIL2023.Conference.Proceedings.pdf
 
.pdf Bencak,_Hercog,_Lehrer_-_Object_detection_and_graspability_analysis_for_robotic_bin-picking_application_in_intralogistics.pdf (1,89 MB)
MD5: 5A92DE1CEEE4CA3CDBAEE7FAD53D79AC
 
Jezik:Angleški jezik
Vrsta gradiva:Drugo
Tipologija:1.08 - Objavljeni znanstveni prispevek na konferenci
Organizacija:FL - Fakulteta za logistiko
FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
FS - Fakulteta za strojništvo
Opis:Robotics has been gaining attention in intralogistics applications in recent years. Automation of intralogistics processes aims to cope with the rising trends of workforce deficiency, aging, and increasing demands that came with the rise of E-commerce. Many improvements aim at bin-picking applications since order-picking requires most contributions while adding little to the products' value. Robotic bin-pickers are showing promising results; however, they are still subject to many limitations. First, the vision system must correctly determine the object's location and orientation. Second, a correct robotic gripper must be chosen. Lastly, appropriate grasping points that lead to successful picking must be selected. In this paper, we explore the influencing parameters of object detection using a 3D vision system. Second, we analyze an actual bin-picking application to determine the most appropriate selection of the robotic gripper. Based on the experiments, we provide the guidelines for selecting the most appropriate robotic bin-picking configuration.
Ključne besede:intralogistics, robotic bin-picking, detection analysis, graspability analysis
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Založnik:University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture
Leto izida:2023
Št. strani:Str. 7-14
PID:20.500.12556/DKUM-84797 Novo okno
UDK:658:007.52
COBISS.SI-ID:154849795 Novo okno
Datum objave v DKUM:25.07.2023
Število ogledov:407
Število prenosov:28
Metapodatki:XML DC-XML DC-RDF
Področja:Ostalo
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Vaša ocena:Ocenjevanje je dovoljeno samo prijavljenim uporabnikom.
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Gradivo je del monografije

Naslov:ICIL 2023 : International Conference on Industrial Logistics May 31 – June 02, 2023, Hotel Kolovare, Zadar, Croatia
Uredniki:Goran Đukić, Tihomir Opetuk
Kraj izida:Zagreb
Založnik:University of Zagreb, Faculty of Mechanical Engineering and Naval Architecture
Leto izida:2023
ISBN:978-953-7738-89-1
COBISS.SI-ID:154810883 Novo okno

Gradivo je financirano iz projekta

Financer:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:L5-2626
Naslov:Skladiščenje 4.0 – Model integracije skladiščno-komisionirnih in robotskih sistemov

Financer:ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Program financ.:Young Researcher Program MR+

Licence

Licenca:CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
Opis:Najbolj omejujoča licenca Creative Commons. Uporabniki lahko prenesejo in delijo delo v nekomercialne namene in ga ne smejo uporabiti za nobene druge namene.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:intralogistika, robotsko komisioniranje, analiza detekcije, analiza oprijemljivosti


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