Title :
Virtual autonom robot
Author :
Korondi, Peter ; Sugiyama, Masakazu
Abstract :
The main goal of this paper is to extend the potential based guiding (PBG) model to a more general form that can be approximated by a common type neuro-fuzzy algorithm. The extended model (VFB) eliminates the strongly alternating behavior of PBG. As a result of virtual training of VFB based on different guiding-style description models, some examples are given, which show the effectiveness of VFB. These examples also show the advantages of using virtual environment, COSMOS for training of different guiding-style description robot models.
Keywords :
control system synthesis; fuzzy control; fuzzy neural nets; learning (artificial intelligence); neurocontrollers; robots; COSMOS; guiding-style description models; guiding-style description robot models training; neuro-fuzzy algorithm; potential based guiding model; virtual autonom robot; virtual training;
Conference_Titel :
Industrial Electronics, 2002. ISIE 2002. Proceedings of the 2002 IEEE International Symposium on
Print_ISBN :
0-7803-7369-3
DOI :
10.1109/ISIE.2002.1026049
