Itinerary optimisation approach inside hypermarkets

Khalifa, Ismahene Hadj; Zribi, Nozha; Kamel, Abdelkader El

doi:10.1109/isda.2011.6121742

Cited by 4 publications

(1 citation statement)

References 9 publications

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“…In other words, the robot fleet (vehicles) is heterogeneous and dispersed on the map, and our scenario owns several stations for delivering products (multi-depot). Many other works approached VRP to address the multi-robot task allocation in warehouses [19,9,17,18,30,33], and other indoor environments [34,35]. However, to the best of our knowledge, this is the first work that addresses the HFMDVRP-DV, and such VRP variation applied indoors.…”

Section: Problem Descriptionmentioning

confidence: 99%

Efficient Task Allocation in Smart Warehouses with Multi-delivery Stations and Heterogeneous Robots

Oliveira¹,

Röning²,

Plentz³

et al. 2022

Preprint

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The task allocation problem in multi-robot systems (MRTA) is an NPhard problem whose viable solutions are usually found by heuristic algorithms. Considering the increasing need of improvement on logistics, the use of robots for increasing the efficiency of logistics warehouses is becoming a requirement. In a smart warehouse the main tasks consist of employing a fleet of automated picking and mobile robots that coordinate by picking up items from a set of orders from the shelves and dropping them at the delivery stations. Two aspects generally justify multi-robot task allocation complexity: (i) environmental aspects, such as multi-delivery stations and dispersed robots (since they remain in constant motion) and (ii) fleet heterogeneity, where robots' traffic speed and

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