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Flexible robot sealant dispensing cell using RGB-D sensor and off-line programming

Maiolino, Perla; Woolley, Richard; Branson, David T.; Benardos, Panorios; Popov, Atanas A.; Ratchev, Svetan

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Authors

Perla Maiolino

Richard Woolley

David T. Branson

Panorios Benardos

Atanas A. Popov

Professor SVETAN RATCHEV svetan.ratchev@nottingham.ac.uk
Cripps Professor of Production Engineering & Head of Research Division



Abstract

In aerospace manufacture the accurate and robust application of sealant is an integral and challenging part of the manufacturing process that is still performed by human operator. Automation of this process is difficult and not cost effective due to the high variability in the parts to operate and also the difficulty associated with programming industrial robotic systems. This work tries to overcome these problems by presenting an AOLP (Automatic Off-Line Programming) system for sealant dispensing through the integration of the ABB's proprietary OLP (Off-Line Programming) system RobotStudio with a relatively new RBG-D sensor technology based on structured light and the development of a RobotStudio add-on. The integration of the vision system in the generation of the robot program overcomes the current problems related to AOLP systems that rely on a known model of the work environment. This enables the ability to dynamically adapt the model according to sensor data, thus coping with environmental and parts variability during operation. Furthermore it exploits the advantages of an OLP system simplifying the robot programming allowing for faster automation of the process.

Citation

Maiolino, P., Woolley, R., Branson, D. T., Benardos, P., Popov, A. A., & Ratchev, S. (in press). Flexible robot sealant dispensing cell using RGB-D sensor and off-line programming. Robotics and Computer-Integrated Manufacturing, 48, https://doi.org/10.1016/j.rcim.2017.04.004

Journal Article Type Article
Acceptance Date Apr 12, 2017
Online Publication Date Apr 21, 2017
Deposit Date May 4, 2017
Publicly Available Date May 4, 2017
Journal Robotics and Computer-Integrated Manufacturing
Print ISSN 0736-5845
Electronic ISSN 1879-2537
Publisher Elsevier
Peer Reviewed Peer Reviewed
Volume 48
DOI https://doi.org/10.1016/j.rcim.2017.04.004
Keywords AOLP; RGB-D sensor; Sealant dispensing
Public URL https://nottingham-repository.worktribe.com/output/857157
Publisher URL http://www.sciencedirect.com/science/article/pii/S0736584516302253
Contract Date May 4, 2017

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