Pregled bibliografske jedinice broj: 1265324
Distributed Mission Planning of Complex Tasks for Heterogeneous Multi-Robot Systems
Distributed Mission Planning of Complex Tasks for Heterogeneous Multi-Robot Systems // 2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)
online ; Mexico City, Meksiko: Institute of Electrical and Electronics Engineers (IEEE), 2022. str. 1224-1231 doi:10.1109/case49997.2022.9926542 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1265324 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Distributed Mission Planning of Complex Tasks for
Heterogeneous Multi-Robot Systems
Autori
Ferreira, Barbara Arbanas ; Petrovic, Tamara ; Bogdan, Stjepan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Skup
2022 IEEE 18th International Conference on Automation Science and Engineering (CASE)
Mjesto i datum
Online ; Mexico City, Meksiko, 20.08.2023. - 24.08.2022
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Multi-Robot Planning ; Task Allocation ; Task Scheduling ; Distributed Optimization
Sažetak
In this paper, we propose a distributed multistage optimization method for planning complex missions for heterogeneous multi-robot systems. This class of problems involves tasks that can be executed in different ways and are associated with cross- schedule dependencies that constrain the schedules of the different robots in the system. The proposed approach involves a multi-objective heuristic search of the mission, represented as a hierarchical tree that defines the mission goal. This procedure outputs several favorable ways to fulfill the mission, which directly feed into the next stage of the method. We utilize a distributed metaheuristic based on evolutionary computation to allocate tasks and generate schedules for the set of chosen decompositions. The solution is evaluated in a simulation setup of an automated greenhouse use case, where we demonstrate the system’s ability to adapt the planning strategy depending on the available robots and the given optimization criteria.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Projekti:
EK-EFRR-KK.01.1.1.04.0041 - Heterogeni autonomni robotski sustav u vinogradarstvu i marikulturi (HEKTOR) (Kovačić, Zdenko; Glavić, Nikša, EK ) ( CroRIS)
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb