Advances in machine vision for flexible feeding of assembly parts

Ali Ahmad Malik, Martin Vejling Andersen, Arne Bilberg

Research output: Contribution to journalConference articleResearchpeer-review

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Abstract

Human-robot collaboration can be used to share workload to form semi-automated production systems. Assembly operations are recognized with high potential to increase productivity by using the best skills of humans and robots in a combination. Components and parts to be assembled need to be structured and presented to the robot in a known location and orientation. The process of presenting parts to the robot for assembly tasks is referred to as parts feeding. Feeding system needs to be adaptable to dynamics of parts' design, shape, location, and orientation to have flexibility in the production. The traditional automation methods for parts feeding are part-specific mechanical devices e.g. vibratory bowl feeders which are inflexible towards part variations. This comes as a hindrance in getting maximum advantage of the flexibility potential of human-robot collaboration in assembly. The recent years have seen advances in machine vision and has potential for feeding applications. This paper explores the developments in machine-vision for flexible feeding systems for human-robot assembly cells. A specification model is presented to develop a vision-guided flexible feeding system. Various vision-based feeding techniques are discussed and validated through an industrial case study. The results helped to compare the efficiency of each feeding technique for industrial application.

Original languageEnglish
JournalProcedia Manufacturing
Volume38
Pages (from-to)1228-1235
ISSN2351-9789
DOIs
Publication statusPublished - Jun 2019
Event29th International Conference for Flexible Automation & Intelligent Manufacturing: Beyond Industry 4.0: Industrial Advances, Engineering Education and Intelligent Manufacturing - Limerick, Ireland
Duration: 23. Jun 201927. Jun 2019

Conference

Conference29th International Conference for Flexible Automation & Intelligent Manufacturing
CountryIreland
CityLimerick
Period23/06/201927/06/2019

Keywords

  • Cobot
  • Collaborative robot
  • Future factory
  • Human-robot collaboration
  • Industry 4.0

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