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Title

Using the Average Landmark Vector Method for Robot Homing.

AuthorsGoldhoorn, Alex ; Ramisa, Arnau ; López de Mántaras, Ramón ; Toledo, Ricardo
KeywordsArtificial Intelligence
Mobile Robot Homing
Average Landmark Vector
Invariant Features
Issue Date2007
PublisherIOS Press
CitationArtificial Intelligence Research and Development. CCIA'07: 10th International Conference of the ACIA. Andorra, October 25-26. Frontiers in Artificial Intelligence and Applications, Vol. 163. IOS Press. p.p.: 331-338. 2007.
AbstractSeveral methods can be used for a robot to return to a previously visited position. In our approach we use the average landmark vector method to calculate a homing vector which should point the robot to the destination. This approach was tested in a simulated environment, where panoramic projections of features were used. To evaluate the robustness of the method, several parameters of the simulation were changed such as the length of the walls and the number of features, and also several disturbance factors were added to the simulation such as noise and occlusion. The simulated robot performed really well. Randomly removing 50% of the features resulted in a mean of 85% successful runs. Even adding more than 100% fake features did not have any significant result on the performance.
DescriptionThe original publication ia available at http://www.booksonline.iospress.nl/Content/View.aspx?piid=7638
URIhttp://hdl.handle.net/10261/3627
ISBN978-1-58603-798-7
ISSN0922-6389
Appears in Collections:(IIIA) Comunicaciones congresos
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