Title :
A neural production system and its application in visual-guided mobile robot navigation
Author_Institution :
Sch. of Electr. Eng., Purdue Univ., West Lafayette, IN, USA
Abstract :
A neural production system architecture is proposed where rules are represented by symbolic expressions and neural networks. These neural networks are trained off-line to model some of the human expertise that are otherwise difficult to model in a traditional rule-based system. Using this neural production system, a vision-guided mobile robot navigation system is developed capable of performing both reactive navigational tasks and high level reasoning
Keywords :
computer vision; computerised navigation; knowledge based systems; mobile robots; neural nets; symbol manipulation; high level reasoning; neural production system; reactive navigational tasks; rule-based system; symbolic expressions; visual-guided mobile robot navigation; Cameras; Feature extraction; Humans; Knowledge based systems; Mobile robots; Navigation; Neural networks; Production systems; Robot sensing systems; Robot vision systems;
Conference_Titel :
Neural Networks, 1993., IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0999-5
DOI :
10.1109/ICNN.1993.298659
