Ovaj odjel zanima se za teme iz područja teorije i primjene robotike i automatizacije. Pod robotikom se ovdje prvenstveno podrazumijeva zanimanje za inteligentne strojeve i sustave korištene, na primjer, u istraživanju okoliša (podmorja, svemira), pružanju usluga ljudima, ili u naprednoj proizvodnji. Pod automatizacijom se prvenstveno podrazumijeva zanimanje za primjenu automatizacijskih metoda i postupaka u tvornicama, uredima, kućanstvima ili, na primjer, u transportnim sustavima s ciljem povećanja njihove djelotvornosti i produktivnosti.
Odjel za robotiku i automatizaciju
IEEE Hrvatska sekcija, Odjel za robotiku i automatizaciju i projekt AeroSTREAM pozivaju Vas na predavanje:
"Energy-aware UAV mapping mission optimization"
koje će održati
Dora Novak, mag. ing. mech., Université Paris-Saclay, Francuska.
Predavanje će se održati 16. srpnja 2024. s početkom u 15:00 sati u prostorima LARICS laboratorija u prizemlju D zgrade FER-a (ulaz s Vukovarske). Predavanje se održava na engleskom jeziku i otvoreno je za sve zainteresirane. Predviđeno trajanje predavanja je 30 minuta, nakon čega slijedi 15 min predviđenih za pitanja i raspravu. Životopis predavačice i sažetak predavanja nalaze se u nastavku obavijesti.
Abstract:
Using UAVs in the context of precision agriculture can optimize farming management and increase agricultural productivity while protecting the environment. However, UAVs have certain limitations that must be considered when developing solutions, such as insufficient battery capacity to perform the mapping of a large field. Because mapping is a highly time-sensitive task requiring uniform images taken within an optimally determined short time window, a UAV mapping mission needs to be completed in the shortest possible time. To increase time efficiency and ensure an energy-aware mission, we introduce a novel approach for UAV battery management of the mapping mission planning. The resulting waypoint distribution from the mission planning represents the subpaths for a UAV with multiple batteries. In order to follow the planned path with minimal tracking error, a nonlinear MPC approach for robust trajectory tracking is introduced.
Bio:
Dora Novak holds a Master’s degree in Mechanical Engineering with specialization in Industrial Engineering from the University of Zagreb. She is currently pursuing a PhD in Control Engineering at L2S, CentraleSupélec, Université Paris-Saclay in France. Her research focuses on developing optimization techniques applied to drones used in precision agriculture. Besides research work, she teaches an Optimization course at CentraleSupélec and was involved in doctoral school decision-making as a PhD representative.