Bio-inspired algorithm for wheeled robot's navigation
by Nada Kherici; Yamina Mohamed Ben Ali
International Journal of Artificial Intelligence and Soft Computing (IJAISC), Vol. 2, No. 4, 2011

Abstract: This paper discusses the bio-inspired algorithm of the Particle Swarm Optimisation (PSO) for a wheeled robot's displacement. PSO was selected because its flexibility and its tempting results. An omnidirectional wheeled robot was simulated on a flat environment with two tasks: 'Reach a goal' or 'collect balls'. This paper checks on the performance of PSO for the displacement studied. In the first case, we discussed the variation of execution time compared to the particles' and the neighbours' number. In the second one, we studied the change in the path's length compared to execution time depending on the particles' and balls' number.

Online publication date: Tue, 27-Sep-2011

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Artificial Intelligence and Soft Computing (IJAISC):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email