Title :
Machine Intelligence through Self Generated Programs
Author :
Lubbe, HG ; Kotze, BJ
Author_Institution :
Telkom SA, Bloemfontein
Abstract :
Ample research is currently being done on automatic guided vehicles (AGV´s) in terms of self learning automatic vehicles. This type of research covers the adaptation to the vehicles its surroundings, route optimization and priority of execution just to mention some of the aspects. This paper investigate the success of a stogastic method of generating an AGV program for functionality, object avoidance and route planning against conventional programming initiatives.
Keywords :
collision avoidance; control engineering computing; learning (artificial intelligence); mobile robots; self-adjusting systems; automatic guided vehicles; machine intelligence; object avoidance; route optimization; route planning; self generated programs; self learning automatic vehicles; Africa; Genetic algorithms; Intelligent robots; Machine intelligence; Modeling; Neural networks; Neurons; Orbital robotics; Robot sensing systems; Vehicles;
Conference_Titel :
Mechatronics, ICM2007 4th IEEE International Conference on
Conference_Location :
Kumamoto
Print_ISBN :
1-4244-1183-1
Electronic_ISBN :
1-4244-1184-X
DOI :
10.1109/ICMECH.2007.4280071
