TY - JOUR
T1 - Neuro-fuzzy based vector field model
T2 - An unified representation for mobile robot guiding styles
AU - Nagy, István
AU - Fung, Wai Keung
AU - Baranyi, Péter
PY - 2000
Y1 - 2000
N2 - The development of autonomous robot navigation systems has been a challenge for robot specialists for decades. Different guiding or navigation styles are required for autonomous robots to operate in the intelligent space efficiently and safely under different situations. In this paper an extension of the classical potential based guiding model is presented. The vector field based guiding model is proposed as a unified representation for guiding style model to be used in intelligent space. Simulations have been conducted to demonstrate the effectiveness of the proposed guiding style model and its neuro-fuzzy realization.
AB - The development of autonomous robot navigation systems has been a challenge for robot specialists for decades. Different guiding or navigation styles are required for autonomous robots to operate in the intelligent space efficiently and safely under different situations. In this paper an extension of the classical potential based guiding model is presented. The vector field based guiding model is proposed as a unified representation for guiding style model to be used in intelligent space. Simulations have been conducted to demonstrate the effectiveness of the proposed guiding style model and its neuro-fuzzy realization.
UR - http://www.scopus.com/inward/record.url?scp=0034506249&partnerID=8YFLogxK
U2 - 10.1109/ICSMC.2000.886557
DO - 10.1109/ICSMC.2000.886557
M3 - Article
AN - SCOPUS:0034506249
SN - 0884-3627
VL - 5
SP - 3538
EP - 3543
JO - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
JF - Proceedings of the IEEE International Conference on Systems, Man and Cybernetics
ER -