Inderscience PublishersInderscience PublishersInderscience Publishers About Inderscience Contact Information Current Site Map General Help
  PUBLISHERS OF DISTINGUISHED ACADEMIC, SCIENTIFIC AND PROFESSIONAL JOURNALS

The full text of this article:

An HVSM for improving the homing ability of visual robots
by G.X. Peng, S.Q. Xie, Lei Cheng
International Journal of Intelligent Systems Technologies and Applications (IJISTA), Vol. 1, No. 1/2, 2005
Abstract: The ability of insects returning home after being displaced far away from home is remarkable while the homing ability of existing robot navigators is often limited. The snapshot model is a computational model developed by biologists for investigating insects' homing ability. It computes a given home vector of the current image of the insect's surroundings only and a snapshot image is taken at target positions. This paper investigates the background of the snapshot model and the model is further developed and extended for robot visual homing. A new model, called horizontal and vertical snapshot model or HVSM, is proposed for developing effective control algorithms for robot visual homing. The experiments show that the HVSM has better performances by utilising information implicitly encoded in two dimensions of an image by a homing agent.

is only available to individual subscribers or to users at subscribing institutions.

ATTENTION SUBSCRIBERS:
Please re-direct your browser by clicking on this Inderscience Online Journals link, 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, please click here to purchase online access to the full-text of this article. Please allow 3 days + mailing time. Current price for article is Thirty Euros (€30)

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Intelligent Systems Technologies and Applications (IJISTA) journal, that have been redirected here, please check if you have a registered username/password subscription with Inderscience. If that is the case, please Login:

    Username:        Password:         Forgotten your Password?

If you are not yet a Subscriber to International Journal of Intelligent Systems Technologies and Applications (IJISTA) journal, you can subscribe by following a few simple and quick steps. A subscription will give you complete access to all articles in the current issue, as well as to all articles in the previous three years, where applicable. Click here to subscribe.

Should you experience further difficulties or have any enquiries, please email subs@inderscience.com