Perla Maiolino
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
Authors
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 |
Files
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Copyright Statement
Copyright information regarding this work can be found at the following address: http://creativecommons.org/licenses/by-nc-nd/4.0
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