dc.creatorFarias, Karoline de M.
dc.creatorRodrigues Junior, WIlson Leal
dc.creatorBezerra Neto, Ranulfo P.
dc.creatorRabelo, Ricardo A. L.
dc.creatorSantana, Andre M.
dc.date2017-09
dc.date2017
dc.date2018-03-14T11:53:20Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/65511
dc.descriptionThis paper presents an approach using range measurement through homography calculation to build 2D visual occupancy grid and control the robot through monocular vision. This approach is designed for a Cellbot architecture. The robot is equipped with wall following behavior to explore the environment, which enables the robot to trail objects contours, residing in the fuzzy control the responsibility to provide commands for the correct execution of the robot movements while facing the adversities in the environment. In this approach the Cellbot camera works as a sensor capable of correlating the images elements to the real world, thus the system is capable of finding the distances of the obstacles and that information is used for the occupancy grid mapping and for fuzzy control input. Experimental results with V-REP simulator are presented to validate the proposal, and the results were favorable to the use in robotics and in acceptable computing time.
dc.descriptionSociedad Argentina de Informática e Investigación Operativa (SADIO)
dc.formatapplication/pdf
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by-sa/4.0/
dc.rightsCreative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)
dc.subjectCiencias Informáticas
dc.subjectoccupancy-grid mapping
dc.subjectwall-following
dc.subjectfuzzy system
dc.subjectmonocular vision
dc.titleAn Approach for Environment Mapping and Control of Wall Follower Cellbot Through Monocular Vision and Fuzzy System
dc.typeObjeto de conferencia
dc.typeObjeto de conferencia


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