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• W2294037886 abstract "The paper deals with a real-world implementation of an autonomous industrial mobile robot performing an industrial application at a pump manufacturing factory. In the implementation, the multi-criteria optimization problem of scheduling tasks of a mobile robot is taken into account. The paper proposes an approach composing of: a mobile robot system design (“Little Helper”), an appropriate and comprehensive industrial application (multiple-part feeding tasks), an implementation concept for industrial environments (the bartender concept), and a real-time heuristics integrated into Mission Planning and Control software to schedule the mobile robot in the industrial application. Results from the real-world implementation show that “Little Helper” is capable of successfully serving four part feeders in three production cells within a given planning horizon using the best schedule generated from the realtime heuristics. The results also demonstrated that the proposed real-time heuristics is capable of finding the best schedule in online production mode." @default.
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• W2294037886 date "2013-01-01" @default.
• W2294037886 modified "2023-10-02" @default.
• W2294037886 title "Modelling and Scheduling Autonomous Mobile Robot for a Real-World Industrial Application" @default.
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• W2294037886 doi "https://doi.org/10.3182/20130619-3-ru-3018.00261" @default.
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