A Decentralised System Approach for Controlling AGVs with ROS. Walenta, R., Schellekens, T., Ferrein, A., & Schiffer, S. In Proceedings of the IEEE AFRICON 2017, September 18-20, 2017. IEEE. Conference abstract bibtex 1 download The current industrial state of the art for automated guided vehicles relies on centralised controllers dispatching transports to vehicles along predefined paths. The design of these paths is time-consuming and has to be done in advance, followed by an extensive testing phase. In the field of mobile robotics, robust path planning and navigation algorithms exist. However, they have not yet found their way into industrial applications in larger numbers. In this paper, we present a system architecture for a decentralised control of multiple automated guided vehicles performing material transportation tasks in intra-logistic applications which is based on mobile robotics solutions. The proposed system includes solutions for self-localisation, behaviour control, conflict-free routing and motion control. The non-centralised control of the system architecture allows for dynamic path planning and traffic coordination. Its implementation is based on the Robot Operating System, the de-facto standard middleware for robotics applications. We give an overview of the overall system architecture as well as the coordination mechanisms and show a first proof of concept in simulations.
@inproceedings{ Walenta:Schellekens:Ferrein:Schiffer:AFRICON2017:DecentralisedAGVsROS,
author = {Robert Walenta and Twan Schellekens and Alexander Ferrein and Stefan Schiffer},
title = {A Decentralised System Approach for Controlling AGVs with ROS},
booktitle = {Proceedings of the IEEE AFRICON 2017},
OPTeditor = {Jan Haase and Gerhard Hancke and Albert Lysko},
OPTvolume = {},
OPTpages = {XX--YY},
year = {2017},
month = {September 18-20},
location = {Cape Town, South Africa},
publisher = {IEEE},
OPTisbn = {},
OPTissn = {},
url_Conference = {http://africon2017.org/},
abstract = {The current industrial state of the art for
automated guided vehicles relies on centralised
controllers dispatching transports to vehicles along
predefined paths.
The design of these paths is time-consuming and has
to be done in advance, followed by an extensive
testing phase. In the field of mobile robotics,
robust path planning and navigation algorithms
exist. However, they have not yet found their way
into industrial applications in larger numbers.
In this paper, we present a system architecture for
a decentralised control of multiple automated guided
vehicles performing material transportation tasks in
intra-logistic applications which is based on mobile
robotics solutions. The proposed system includes
solutions for self-localisation, behaviour control,
conflict-free routing and motion control. The
non-centralised control of the system architecture
allows for dynamic path planning and traffic
coordination. Its implementation is based on the
Robot Operating System, the de-facto standard
middleware for robotics applications. We give an
overview of the overall system architecture as well
as the coordination mechanisms and show a first
proof of concept in simulations.},
}
Downloads: 1
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