Title :
Enhancement approaches of covering process for robot behaviors
Author :
Baneamoon, Saeed Mohammed ; Salam, Rosalina Abdul
Author_Institution :
Sch. of Comput. Sci., Univ. Sains Malaysia, Minden
Abstract :
In this paper a simulated control system for robot is designed by using distributed learning classifier system to perform complex behaviors. A set of enhanced solutions of cover detectors problem is suggested and compared with each other in order to make the simulated robot more effective in choosing the appropriate behavior (action).
Keywords :
learning (artificial intelligence); robots; distributed learning classifier system; machine learning; robot behaviors; simulated control system; Computational modeling; Computer simulation; Control system synthesis; Detectors; Distributed computing; Finance; Genetic algorithms; Intelligent robots; Machine learning; Robot control; covering process; genetic based machine learning; learning clasifier system; machine learning;
Conference_Titel :
Autonomous Robots and Agents, 2009. ICARA 2009. 4th International Conference on
Conference_Location :
Wellington
Print_ISBN :
978-1-4244-2712-3
Electronic_ISBN :
978-1-4244-2713-0
DOI :
10.1109/ICARA.2000.4803920
