Please use this identifier to cite or link to this item: http://hdl.handle.net/11422/1956
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dc.contributor.authorLopes, Emerson Prado-
dc.contributor.authorAude, Eliana Prado Lopes-
dc.contributor.authorSilveira, Julio Tadeu Carvalho da-
dc.contributor.authorSerdeira, Henrique-
dc.contributor.authorMartins, Mario Ferreira-
dc.date.accessioned2017-05-12T12:06:06Z-
dc.date.available2017-05-14T03:00:11Z-
dc.date.issued2002-12-31-
dc.identifier.citationLOPES, E. P. et al. Application of a blind person strategy for obstacle avoidance with the use of potential fields. Rio de Janeiro: NCE, UFRJ, 2002. 6 p. (Relatório Técnico, 24/02)pt_BR
dc.identifier.urihttp://hdl.handle.net/11422/1956-
dc.description.abstractThis paper proposes a new obstacle avoidance algorithm for the CONTROLAB AGV which uses a similar strategy adopted by a blind person to avoid obstacles while walking. The AGV moves within an office environment with a known floorplan and uses an "electronic stick" consisting of infraredsensors to detect unknown obstacles. Initially a global potential field function is defined for each floorplan room. While the AGV is moving, the original potential function is modified each time an obstacle is detected by the infrared sensors. This modification is simply performed by the addition of previously calculated potentlal field values on a grid which represents the room working area. The interestlng aspects of the proposed approach are that the potential function adaptation involves very low computational burden, the algorithm is free from local minima, the obstacles can have any shape and low cost sensors can be used to detect obstacles.pt_BR
dc.languageengpt_BR
dc.relation.ispartofRelatório técnico NCEpt_BR
dc.rightsAcesso Abertopt_BR
dc.subjectObstáculos de escapept_BR
dc.subjectCampos em potencialpt_BR
dc.subjectPlanejamento de trajetóriapt_BR
dc.subjectRobôs móveispt_BR
dc.titleApplication of a blind person strategy for obstacle avoidance with the use of potential fieldspt_BR
dc.typeRelatóriopt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentInstituto Tércio Pacitti de Aplicações e Pesquisas Computacionaispt_BR
dc.subject.cnpqCNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAOpt_BR
dc.citation.issue2402pt_BR
dc.embargo.termsabertopt_BR
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