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Continuous tension validation for cable-driven parallel robots

  • Diane Bury
  • , Jean Baptiste Izard
  • , Marc Gouttefarde
  • , Florent Lamiraux
  • Université Fédérale Toulouse Midi-Pyrénées
  • Université de Montpellier II

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

6 Citas (Scopus)

Resumen

This paper deals with continuous tension validation for Cable-Driven Parallel Robots (CDPRs). The proposed method aims at determining whether or not a quasi-static path is feasible regarding cable tension limits. The available wrench set (AWS) is the set of wrenches that can be generated with cable tensions within given minimum and maximum limits. A pose of the robot is considered valid regarding the tensions if and only if the wrench induced by the platform weight is inside the AWS. The hyperplane shifting method gives a geometric representation of the AWS as the intersection of half-spaces. For each facet-defining hyperplane of the AWS, we define a value which is positive when the pose is valid, i.e. when the corresponding wrench lies on the proper side of the hyperplane. Using this value and an upper bound on its time derivative along the path, the half-length of a valid time interval is obtained. Intervals are repeatedly validated for each hyperplane until either the whole path is validated or a non-valid pose is found. The presented method is integrated within the open-source software Humanoid Path Planner (HPP) and implementation results using the configuration of the CDPR CoGiRo are presented.

Idioma originalInglés
Título de la publicación alojada2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020
EditorialInstitute of Electrical and Electronics Engineers Inc.
Páginas6558-6563
Número de páginas6
ISBN (versión digital)9781728162126
DOI
EstadoPublicada - 24 oct 2020
Evento2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020 - Las Vegas, Estados Unidos
Duración: 24 oct 202024 ene 2021

Serie de la publicación

NombreIEEE International Conference on Intelligent Robots and Systems
ISSN (versión impresa)2153-0858
ISSN (versión digital)2153-0866

Conferencia

Conferencia2020 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2020
País/TerritorioEstados Unidos
CiudadLas Vegas
Período24/10/2024/01/21

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