Long-run multi-robot planning under uncertain action durations for persistent tasks

Long-run multi-robot planning under uncertain action durations for persistent tasks

This paper presents an approach for multi-robot long-term planning under uncertainty over the duration of actions. The proposed methodology takes advantage of generalized stochastic Petri nets with rewards (GSPNR) to model multi-robot problems. A GSPNR allows for unified modeling of action selection...

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Dettagli Bibliografici
Autori principali:	Azevedo, C, Lacerda, B, Hawes, N, Lima, P
Natura:	Conference item
Lingua:	English
Pubblicazione:	IEEE 2021

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