Stiffness-based Analytic Centre Method for Cable-Driven Parallel Robots

Fuente: arXiv
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Hauptverfasser: Dona', Domenico, Di Paola, Vincenzo, Zoppi, Matteo, Trevisani, Alberto
Format: Preprint
Veröffentlicht: 2025
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author Dona', Domenico
Di Paola, Vincenzo
Zoppi, Matteo
Trevisani, Alberto
author_facet Dona', Domenico
Di Paola, Vincenzo
Zoppi, Matteo
Trevisani, Alberto
contents Nowadays, being fast and precise are key requirements in Robotics. This work introduces a novel methodology to tune the stiffness of Cable-Driven Parallel Robots (CDPRs) while simultaneously addressing the tension distribution problem. In particular, the approach relies on the Analytic-Centre method. Indeed, weighting the barrier functions makes natural the stiffness adaptation. The intrinsic ability to adjust the stiffness during the execution of the task enables the CDPRs to effectively meet above-mentioned requirements. The capabilities of the method are demonstrated through simulations by comparing it with the existing approach.
format Preprint
id arxiv_https___arxiv_org_abs_2505_07348
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Stiffness-based Analytic Centre Method for Cable-Driven Parallel Robots
Dona', Domenico
Di Paola, Vincenzo
Zoppi, Matteo
Trevisani, Alberto
Robotics
Systems and Control
Nowadays, being fast and precise are key requirements in Robotics. This work introduces a novel methodology to tune the stiffness of Cable-Driven Parallel Robots (CDPRs) while simultaneously addressing the tension distribution problem. In particular, the approach relies on the Analytic-Centre method. Indeed, weighting the barrier functions makes natural the stiffness adaptation. The intrinsic ability to adjust the stiffness during the execution of the task enables the CDPRs to effectively meet above-mentioned requirements. The capabilities of the method are demonstrated through simulations by comparing it with the existing approach.
title Stiffness-based Analytic Centre Method for Cable-Driven Parallel Robots
topic Robotics
Systems and Control
url https://arxiv.org/abs/2505.07348