@conference{
author = "Đokić, Lazar and Jokić, Aleksandar and Petrović, Milica and Miljković, Zoran",
year = "2019",
abstract = "U cilju ostvarivanja efikasnog i pouzdanog transportnog sistema, savremeni tehnološki
sistemi se baziraju na upotrebi inteligentnih mobilnih robota za manipulaciju i unutrašnji transport
materijala. Da bi se smanjila neodređenost u okviru dinamičkog tehnološkog okruženja, mobilni
roboti su opremljeni sa stereo vizuelnim sistemom, pomoću koga pouzadno mogu da ocene
udaljenost tehnoloških entiteta. U ovom radu, predstavljen je novi algoritam za stereo vizuelno
upravljanje neholonomnog mobilnog robota. Glavni upravljački algoritam, zasnovan na računanju
greške u parametrima slike (IBVS - Image based visual servoing), koristi se za tačno pozicioniranje
mobilnog robota u željeni položaj. Da bi se izračunale greške u parametrima slike, koristi se
algoritam za identifikaciju karakterisitčnih objekata na trenutnim i ciljnim slikama. Poređenje ovih
algoritama izvršeno je na setu slika laboratorijskog modela tehnološkog okruženja, čija je akvizicija
izvršena kamerama Basler acA1920-25uc. Na osnovu rezultata poređenja, KAZE algoritam za
identifikaciju karakterističnih objekata je pokazao najbolje performance. Da bi se testirao i
verifikovao rad stereo vizuelnog upravljačkog sistema, pored simulacije, izvršena su i dva
eksperimenta na mobilnom robotu RAICO (Robot with Artificial Intelligence based COgnition) u
laboratorijskom modelu tehnološkog okruženja. Eksperimentalni rezultati pokazuju efikasnost
predloženog stereo vizuelnog upravljačkog sistema u ostvarivanju željenog položaja mobilnog
robota, uz minimalnu ostvarenu grešku., Requirements for an effective and reliable material transport system within advanced
manufacturing environment can be fulfilled by using intelligent mobile robots to perform material
handling and transportation tasks. In order to reduce the degree of ambiguity occurring in a
dynamic manufacturing environment, mobile robots are equipped with a stereo vision system that
can reliably estimate distance to manufacturing entities. In this paper, a new stereo vision-based
algorithm for control of nonholonomic mobile robot is proposed. The main control algorithm, based
on an error in image parameters (IBVS - Image based visual servoing), is used for positioning of a
mobile robot in the desired location. For estimation of the error in image parameters, point features
are extracted from the current and target camera view via feature detection and description
algorithm. A comparison of these algorithms is made on a set of images obtained in laboratory
model of the manufacturing environment by using Basler acA1920-25uc cameras. Based on the
results of comparison, KAZE feature detection and description algorithm is proven to be best suited
for this specific case. In order to verify the stereo visual control system, simulation and real-world
experiments are performed. Two experiments are conducted on a mobile robot RAICO (Robot with
Artificial Intelligence based COgnition) in a laboratory model of the manufacturing environment.
Experimental results show the effectiveness of the proposed stereo visual control system and its
applicability in reaching the desired location with minimal accuracy error.",
journal = "Proceedings of selected papers and abstracts of the The Third International Students Scientific Conference "Multidisciplinary Approach to Contemporary Research - Cultural and Industrial Heritage", Belgrade, 21-22.12. 2019",
title = "Stereo vision-based algorithm for control of nonholonomic mobile robot",
pages = "82-69",
url = "https://hdl.handle.net/21.15107/rcub_machinery_4237"
}