Vision-based control for mining automation

Corke, Peter, Roberts, Jonathan M., & Winstanley, Graeme (1998) Vision-based control for mining automation. IEEE Robotics and Automation magazine, 5(4), pp. 44-49.

View at publisher


The mining industry is highly suitable for the application of robotics and automation technology since the work is both arduous and dangerous. Visual servoing is a means of integrating noncontact visual sensing with machine control to augment or replace operator based control. This article describes two of our current mining automation projects in order to demonstrate some, perhaps unusual, applications of visual servoing, and also to illustrate some very real problems with robust computer vision

Impact and interest:

8 citations in Scopus
6 citations in Web of Science®
Search Google Scholar™

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 83471
Item Type: Journal Article
Refereed: Yes
Keywords: Industrial robots, Mining, Robot vision, Servomechanisms
DOI: 10.1109/100.740465
ISSN: 1070-9932
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Current > Schools > School of Exercise & Nutrition Sciences
Deposited On: 09 Apr 2015 23:10
Last Modified: 09 Apr 2015 23:10

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page