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...
| Главные авторы: | , , , |
|---|---|
| Формат: | Conference item |
| Язык: | English |
| Опубликовано: |
IEEE
2021
|