Publicación:
Automatic Vision Based Calibration System for Planar Cable-Driven Parallel Robots

Vista sencilla de ítem
dc.contributor.authorGarcía-Vanegas, Andrés
dc.contributor.authorLiberato-Tafur, Brhayan
dc.contributor.authorForero, Manuel G
dc.contributor.authorGonzález-Rodríguez, Antonio
dc.contributor.authorCastillo-García, Francisco
dc.date.accessioned2020-09-10T21:00:59Z
dc.date.available2020-09-10T21:00:59Z
dc.date.issued2019-09-22
dc.description.abstractTechniques commonly employed to calibrate cable-driven parallel robots are manual or use sensors to measure the end-effector position indirectly. Therefore, in this paper, a cable-driven robot calibration system based on artificial vision techniques is introduced, which takes advantage of the available information, which allows calibrating the system directly from the observed video. The proposed method was validated by calibrating a planar cable-driven parallel robot prototype with 2 degrees of freedom. The measured positioning error was lower than 1 mm.es_CO
dc.description.sponsorshipUniversidad de Ibaguées_CO
dc.identifier.citationGarcía-Vanegas A., Liberato-Tafur B., Forero M.G., Gonzalez-Rodríguez A., Castillo-García F. (2019) Automatic Vision Based Calibration System for Planar Cable-Driven Parallel Robots. In: Morales A., Fierrez J., Sánchez J., Ribeiro B. (eds) Pattern Recognition and Image Analysis. IbPRIA 2019. Lecture Notes in Computer Science, vol 11867. Springer, Cham. https://doi.org/10.1007/978-3-030-31332-6_52es_CO
dc.identifier.isbn978-3-030-31331-9
dc.identifier.urihttps://link.springer.com/chapter/10.1007/978-3-030-31332-6_52
dc.language.isoenes_CO
dc.publisherLecture Notes in Computer Sciencees_CO
dc.subjectCable-driven parallel robotes_CO
dc.subjectParallel robotices_CO
dc.subjectComputer visiones_CO
dc.subjectVision-based controles_CO
dc.subjectRobot calibrationes_CO
dc.titleAutomatic Vision Based Calibration System for Planar Cable-Driven Parallel Robotses_CO
dc.typeArticlees_CO
dspace.entity.typePublication
eperson.emailjorge.garcia@unibague.edu.coes_CO
Archivos
Bloque de licencias
Mostrando1 - 1 de 1
Miniatura
Nombre:
license.txt
Tamaño:
134 B
Formato:
Item-specific license agreed upon to submission
Descripción:
Descargar
Colecciones
Artículos