Naslov
Autonomous robot behavior based on neural networks

Autori
Grolinger, Katarina ; Jerbić, Bojan ; Vranješ, Božo

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of Applications and Science of Artificial Neural Networks III / Rogers, Steven K. - Orlando (FL) : SPIE, 1997, 2038-2046

Skup
Wavelets and Neural Networks

Mjesto i datum
Orlando (FL), Sjedinjene Američke Države, 21.04.1997. - 24.04.1997

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
robot; learning; neural networks; intelligence

Sažetak
The purpose of autonomous robot is to solve various tasks while adapting its behavior to the variable environment, expecting it is able to navigate much like a human would, including handling uncertain and unexpected obstacles. To achieve this the robot has to be able to find solution in unknown situations, to learn experienced knowledge, that means action procedure together with corresponding knowledge on the work space structure, and to recognize working environment. The planing of the intelligent robot behavior presented in this paper implements the reinforcement learning based on strategic and random attempts for finding solution and neural network approach for memorizing and recognizing work space structure (structural assignment problem). Some of the well known neural networks based on unsupervised learning are considered with regard to the structural assignment problem. The adaptive fuzzy shadowed (AFS) neural network is developed. It has the additional shadowed hidden layer, specific learning rule and initialization phase. The developed neural network combines advantages of networks based on the Adaptive Resonance Theory and using shadowed hidden layer provides ability to recognize lightly translated or rotated obstacles in any direction.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo

POVEZANOST RADA