Niko Herakovič (Author)

Abstract

Ob vse zahtevnejsem svetovnem trgu ponujajo robotizirani montažni sistemi dobre resitve za racionalizacijo in večjo prilagodljivost montažnih postopkov.V modernem postopku montaze obstaja močno izražena potreba po naprednem robotiziranem prijemanju sestavnih delov in po zmožnostih izvajanja montažnih posegov v nestrukturiranih okoljih z naključno urejenimi objekti. Robotski montažni sistemi z računalniskim vidom, ki so bili pomembna tema raziskav v preteklih štirih desetletjih, so dandanes dozoreli do te mere, da so primerni za uspešno uporabo v naprednih nalogah robotizirane montaže. V tem prispevku je podan pregled raziskovalnega dela na področjih avtomatiziranih montaznih sistemov s strojnim vidom.

Keywords

robotizirana montaža;strojni vid;robotski vid;razpoznavanje objektov;

Data

Language: Slovenian
Year of publishing:
Typology: 1.02 - Review Article
Organization: UM FS - Faculty of Mechanical Engineering
Publisher: Association of Mechanical Engineers and Technicians of Slovenia et al.
UDC: 681.5
COBISS: 10378267 Link will open in a new window
ISSN: 0039-2480
Parent publication: Strojniški vestnik
Views: 84
Downloads: 5
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Other data

Secondary language: English
Secondary title: Computer and machine vision in robot-based assembly
Secondary abstract: Against the background of an increasingly demanding world market, robotic assembly systems offer good prospects for the rationalisation and flexibilisation of assembly processes. In modern assembly there is a strong need for advanced robot grasping and for the capability to perform assembly operations in non-structured environments with randomly positioned objects. Vision-based robotic assembly systems, which has been the topic of continuous research interest for almost four decades, have now matured to the point where they can be effectively applied to advanced robot-based assembly tasks. This paper gives an overview of the research work related to the field of automated vision systems for assembly.
Secondary keywords: robotic assembly;machine vision;robot vision;object recognition;
URN: URN:NBN:SI
Type (COBISS): Not categorized
Pages: str. 858-873
Volume: ǂLetn. ǂ53
Issue: ǂšt. ǂ12
Chronology: 2007
ID: 1738447