Towards Autonomous Task Allocation Using a Robot Team in a Food Factory

Owen, Amie, Harman, Helen and Sklar, Elizabeth (2022) Towards Autonomous Task Allocation Using a Robot Team in a Food Factory. In: UKRAS2022 Conference ‘Robotics for Unconstrained Environments’, 26th August 2022, Aberystwyth, Scotland.

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Towards Autonomous Task Allocation Using a Robot Team in a Food Factory
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Abstract

Scheduling of hygiene tasks in a food production environment is a complex challenge which is typically performed manually. Many factors must be considered during scheduling; this includes what training a hygiene operative (i.e. cleaning staff member) has undergone, the availability of hygiene operatives (holiday commitments, sick leave etc.) and the production constraints (how long does the oven take to cool, when does production begin again etc.). This paper seeks to apply multiagent task allocation (MATA) to automate and optimise the process of allocating tasks to hygiene operatives. The intention is that this optimization module will form one part of a proposed larger system. that we propose to develop. A simulation has been created to function as a digital twin of a factory environment, allowing us to evaluate experimentally a variety of task allocation methodologies. Trialled methods include Round Robin (RR), Sequential Single Item (SSI) auctions, Lowest Bid and Least Contested Bid.

Keywords:multi-agent task allocation, food factory hygiene, simulation, multi-robot team
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
D Veterinary Sciences, Agriculture and related subjects > D400 Agriculture
Divisions:College of Science > Lincoln Institute for Agri-Food Technology
College of Science > School of Computer Science
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ID Code:51674
Deposited On:12 Sep 2022 13:48

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