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Integration of multi-camera vision system for automatic robotic assembly

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

Details

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

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.

Keywords

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

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