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Erschienen in:
2018 | OriginalPaper | Buchkapitel
Estimation of the Traversal Time for a Fleet of Industrial Transport Robots
verfasst von : Clemens Mühlbacher, Stefan Gspandl, Micheal Reip, Gerald Steinbauer
Erschienen in: Advances in Service and Industrial Robotics
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Abstract
Transportation tasks within warehouses are nowadays more and more solved using of fleets of autonomous robots. A fleet allows coordinating the different robots in such a way that it balance the load caused by transportation tasks. This allows the robot fleet to be a cost-efficient solution for moderate and changing loads compared to fixed conveyor belts.
To allow such a flexible load balancing it is necessary to estimate the time it may take to perform a certain transportation. This is of interest if different transportation tasks can be assigned to an individual robot and the order may have an impact on the time spent to perform a transportation task.
In this paper, we will present a method which can learn to estimate the time spent on certain transportation tasks. The method is evaluated per its prediction accuracy on a different set of data which were obtained from the deployment of a robotic fleet in an industrial environment.