Pregled bibliografske jedinice broj: 89355
Neural Network Based Correction of Odometry Errors in Mobile Robots
Neural Network Based Correction of Odometry Errors in Mobile Robots // Proceedings of FIRA Congress 2002 / Kim (ur.).
Seoul, 2002. str. 91-96 (poster, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 89355 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Neural Network Based Correction of Odometry Errors in Mobile Robots
Autori
Petrović, Ivan ; Ivanjko, Edouard ; Perić, Nedjeljko
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of FIRA Congress 2002
/ Kim - Seoul, 2002, 91-96
Skup
FIRA Congress 2002
Mjesto i datum
Republika Koreja, 27.05.2002. - 29.05.2002
Vrsta sudjelovanja
Poster
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Mobile Robots; Odometry; Neural Network
Sažetak
Odometry is the most widely used method for estimation of the momentary position of mobile robots. It provides easily accessible real-time positioning information. However, with time, odometric localization accumulates errors in an unbounded fashion. This paper describes a way to decrease the odometry error by using a neutral network as a soft sensor. It makes a correction to the estimated orientation of the mobile robot, which is the most influenced on accumulated odometry errors. Trained neural network can be used instead of a gyro or a compass in some mobile robot applications.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
