Distributed Fleet Management in Noisy Environments via Model-Predictive Control

We consider dynamic route planning for a fleet of Autonomous Mobile Robots (AMRs) doing fetch and carry tasks on a shared factory floor. In this paper, we propose Stochastic Work Graphs (SWG) as a formalism for capturing the semantics of such distributed and uncertain planning problems. We encode SW...

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Vydané v:	Proceedings of the International Conference on Automated Planning and Scheduling Ročník 32; s. 565 - 573
Hlavní autori:	Bøgh, Simon, Gjøl Jensen, Peter, Kristjansen, Martin, Guldstrand Larsen, Kim, Nyman, Ulrik
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	13.06.2022
ISSN:	2334-0835, 2334-0843
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