Integration of multi-camera vision system for automatic robotic assembly

Longchuan Niu, Matti Saarinen, Reijo Tuokko, Jouni Mattila

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

1 Citation (Scopus)

Abstract

An automated assembly cell does not come with the luxury of intelligence. A non-adaptive robot manipulator must have more accurate parts and assembly fixtures to a greater accuracy than their assembly tolerances. Accurate parts presentation and the fixturing of assemblies can be a complex and costly portion of an automated cell. Machine vision can be integrated with the assembly process to effectively and efficiently guide the assembly process. This paper presents a framework for an automatic assembly system that consists of an industrial robot and a three-camera vision system, where the tasks involve object detection, pose estimation during pick and place operations, and assembly verification. Given a pocket calculator as an application, the proposed framework can successfully perform autonomous assembly of a pocket calculator. The experiment results verified the efficacy of the proposed method.

Original languageEnglish
Title of host publication9th International Conference on Physical and Numerical Simulation of Materials Processing (ICPNS’2019)
PublisherElsevier
Pages380-384
Number of pages5
DOIs
Publication statusPublished - 2019
Publication typeA4 Article in a conference publication
EventInternational Conference on Physical and Numerical Simulation of Materials Processing - Moscow, Russian Federation
Duration: 10 Oct 201915 Oct 2019

Publication series

NameProcedia Manufacturing
PublisherElsevier
Volume37
ISSN (Print)2351-9789

Conference

ConferenceInternational Conference on Physical and Numerical Simulation of Materials Processing
CountryRussian Federation
CityMoscow
Period10/10/1915/10/19

Keywords

  • Eye-in-hand
  • Machine vision
  • Robotic assembly

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Industrial and Manufacturing Engineering
  • Artificial Intelligence

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