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Towards 5G-Aware Robot Planning for Industrial Applications

Nils Jorgensen, Ajay Kattepur, Swarup Kumar Mohalik, Aneta Vulgarakis, Elena Fersman

Year
2022
Citations
3

Abstract

With the emergence of Industry 4.0, comes an increasing need for multi-robot coordination and communication to efficiently complete joint tasks. A critical technology is the fifth generation (5G) mobile network, which enables multiple robots to execute control tasks with differentiated quality-of-service (QoS) features. However, there has been limited analysis of the impact of real 5G capabilities on multi-agent robot planning problems. In this paper, we provide a review of robot planning algorithms suitable for industrial use-cases, which consider communication aspects in the planning formulation. The paper is further positioned to identify gaps in existing state of the art within communication-aware planning. This is followed by an analysis of key challenges to be targeted at the intersection of 5G, Industry 4.0 and multi-agent robot planning. This analysis is strategically important and would prove useful to academic researchers and industry experts focusing on deployment of robots in industrial settings.

Keywords

RobotComputer scienceIntersection (aeronautics)Key (lock)Software deploymentMobile robotQuality of serviceMotion planningDistributed computingComputer network

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