An Approach to Base Placement for Effective Collaboration of Multiple Autonomous Industrial Robots

Hassan, M; Liu, DK; Paul, G; Huang, SH

An Approach to Base Placement for Effective Collaboration of Multiple Autonomous Industrial Robots

Hassan, M Liu, DK Paul, G Huang, SH

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Conference Proceeding
Citation:: 2016, pp. 3286 - 3291
Issue Date:: 2016-01-01

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Field	Value	Language
dc.contributor.author	Hassan, M	en_US
dc.contributor.author	Liu, DK	en_US
dc.contributor.author	Paul, G	en_US
dc.contributor.author	Huang, SH	en_US
dc.date	2015-05-26	en_US
dc.date.available	2015-01-31	en_US
dc.date.issued	2016-01-01	en_US
dc.identifier.citation	2016, pp. 3286 - 3291	en_US
dc.identifier.isbn	978-1-4799-6922-7	en_US
dc.identifier.uri	http://hdl.handle.net/10453/43464
dc.description.abstract	There are many benefits for the deployment of multiple autonomous industrial robots to carry out a task, particularly if the robots act in a highly collaborative manner. Collaboration can be possible when each robot is able to autonomously explore the environment, localize itself, create a map of the environment and communicate with other robots. This paper presents an approach to the modeling of the collaboration problem of multiple robots determining optimal base positions and orientations in an environment by considering the team objectives and the information shared amongst the robots. It is assumed that the robots can communicate so as to share information on the environment, their operation status and their capabilities. The approach has been applied to a team of robots that are required to perform complete surface coverage tasks such as grit-blasting and spray painting in unstructured environments. Case studies of such applications are presented to demonstrate the effectiveness of the approach.	en_US
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)	en_US
dc.relation.ispartof	International Conference on Robotics and Automation (ICRA)	en_US
dc.rights	© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.title	An Approach to Base Placement for Effective Collaboration of Multiple Autonomous Industrial Robots	en_US
dc.type	Conference Proceeding
utslib.location.activity	Washington State Convention Center in Seattle, Washington, USA	en_US
dc.location.activity	Washington State Convention Center in Seattle, Washington, USA
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Elec, Mech and Mechatronic Systems
pubs.organisational-group	/University of Technology Sydney/Strength - Centre for Autonomous Systems
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.finish-date	2015-06-30	en_US
pubs.publication-status	Published	en_US
pubs.start-date	2015-05-26	en_US

Abstract:

There are many benefits for the deployment of multiple autonomous industrial robots to carry out a task, particularly if the robots act in a highly collaborative manner. Collaboration can be possible when each robot is able to autonomously explore the environment, localize itself, create a map of the environment and communicate with other robots. This paper presents an approach to the modeling of the collaboration problem of multiple robots determining optimal base positions and orientations in an environment by considering the team objectives and the information shared amongst the robots. It is assumed that the robots can communicate so as to share information on the environment, their operation status and their capabilities. The approach has been applied to a team of robots that are required to perform complete surface coverage tasks such as grit-blasting and spray painting in unstructured environments. Case studies of such applications are presented to demonstrate the effectiveness of the approach.

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/36231