Optimal Design of a Deployable and Reconfigurable Cable-Driven Parallel Robot

This paper presents the optimal design of a deployable and reconfigurable cable-driven parallel robot. Cable robots offer a practical solution to large-scale manipulation tasks. They use cables instead of rigid links to control the end-effector motion. To enable rapid deployment and workspace reconfiguration, the actuation and guiding units can be integrated into the end-effector so that the latter can be easily mounted on different frames. In this case, the end-effector geometry must be optimized taking into account several potential frame configurations. To this end, this paper introduces a novel gradient-based optimization method, designed to maximize the volume and symmetry of the wrench-feasible workspace.

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Publication Details

Published
2024-09-02
DOI
https://doi.org/10.1109/mesa61532.2024.10704887
Citations
5
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
Field-Weighted Citation Impact
1.06
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article

Optimal Design of a Deployable and Reconfigurable Cable-Driven Parallel Robot

Andrea Lucarini, Marco Carricato, Edoardo Idà
5 citations
Modular Robots and Swarm Intelligence
1.06
article

Optimal Design of a Deployable and Reconfigurable Cable-Driven Parallel Robot

Andrea Lucarini, Marco Carricato, Edoardo Idà
article en
5 citations

Abstract

This paper presents the optimal design of a deployable and reconfigurable cable-driven parallel robot. Cable robots offer a practical solution to large-scale manipulation tasks. They use cables instead of rigid links to control the end-effector motion. To enable rapid deployment and workspace reconfiguration, the actuation and guiding units can be integrated into the end-effector so that the latter can be easily mounted on different frames. In this case, the end-effector geometry must be optimized taking into account several potential frame configurations. To this end, this paper introduces a novel gradient-based optimization method, designed to maximize the volume and symmetry of the wrench-feasible workspace.

University of Bologna (IT)
Affordable and clean energy
Openalex Percentile: Top 26%
Modular Robots and Swarm Intelligence
1.06
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