Pregled bibliografske jedinice broj: 773374
Can UAV and UGV Be Best Buddies? Towards Heterogeneous Aerial-ground Cooperative Robot System for Complex Aerial Manipulation Tasks
Can UAV and UGV Be Best Buddies? Towards Heterogeneous Aerial-ground Cooperative Robot System for Complex Aerial Manipulation Tasks // Proceedings of 12th International Conference on Informatics in Control Automation and Robotics (ICINCO 2015)
Colmar, Francuska, 2015. str. 238-245 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 773374 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Can UAV and UGV Be Best Buddies? Towards Heterogeneous Aerial-ground Cooperative Robot System for Complex Aerial Manipulation Tasks
Autori
Petrović, Tamara ; Haus, Tomislav ; Arbanas, Barbara ; Orsag, Matko ; Bogdan, Stjepan
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of 12th International Conference on Informatics in Control Automation and Robotics (ICINCO 2015)
/ - , 2015, 238-245
Skup
12th International Conference on Informatics in Control Automation and Robotics (ICINCO 2015)
Mjesto i datum
Colmar, Francuska, 21.07.2015. - 23.07.2015
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
planiranje putanja ; raspoređivanje poslova ; UAV ; UGV ; manipulacija u letu
(Path Planning ; Task Scheduling ; UAV ; UGV ; Aerial Manipulation.)
Sažetak
This paper presents the results of our efforts to build a heterogeneous robotic system capable of executing complex disaster response and recovery tasks. We aim to explore high level task scheduling and mission planning algorithms that enable various types of robots to cooperate together, utilizing each others strengths to yield a symbiotic robotic system. In the proposed scenario, a ground vehicle and an aerial robot work together to close a valve in a disaster stricken industrial environment. To that end we use TÆMS framework in order to specify interrelationships between mission subtasks and develop an effective scheduling and coordination mechanism, inspired by Generalized Partial Global Planning. We present simulation results with two different outcomes that show cooperative capabilities of the system.
Izvorni jezik
Engleski
Znanstvena područja
Temeljne tehničke znanosti
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Matko Orsag
(autor)
Barbara Arbanas Pascoal Ferreira
(autor)
Tomislav Haus
(autor)
Stjepan Bogdan
(autor)
Tamara Petrović
(autor)