Review: Recent progress on programming methods for industrial robots

Authors:
Zengxi Pan;Joseph Polden;Nathan Larkin;Stephen Van Duin;John Norrish
Affiliations:
Faculty of Engineering, University of Wollongong, Wollongong, NSW 2522, Australia;Faculty of Engineering, University of Wollongong, Wollongong, NSW 2522, Australia;Faculty of Engineering, University of Wollongong, Wollongong, NSW 2522, Australia;Faculty of Engineering, University of Wollongong, Wollongong, NSW 2522, Australia;Faculty of Engineering, University of Wollongong, Wollongong, NSW 2522, Australia
Venue:
Robotics and Computer-Integrated Manufacturing
Year:
2012

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Abstract

Although an automated flexible production cell is an intriguing prospect for small to median enterprises (SMEs) in current global market conditions, the complexity of programming remains one of the major hurdles preventing automation using industrial robots for SMEs. This paper provides a comprehensive review of the recent research progresses on the programming methods for industrial robots, including online programming, offline programming (OLP), and programming using Augmented Reality (AR). With the development of more powerful 3D CAD/PLM software, computer vision, sensor technology, etc. new programming methods suitable for SMEs are expected to grow in years to come.