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Autor principal: Garofalo, Gianluca
Formato: Preprint
Publicado: 2024
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Acceso en línea:https://arxiv.org/abs/2403.08491
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author Garofalo, Gianluca
author_facet Garofalo, Gianluca
contents When a robotic system is redundant with respect to a given task, the remaining degrees of freedom can be used to satisfy additional objectives. With current robotic systems having more and more degrees of freedom, this can lead to an entire hierarchy of tasks that need to be solved according to given priorities. In this paper, the first compliant control strategy is presented that allows to consider an arbitrary number of equality and inequality tasks, while still preserving the natural inertia of the robot. The approach is therefore a generalization of a passivity-based controller to the case of an arbitrary number of equality and inequality tasks. The key idea of the method is to use a Weighted Hierarchical Quadratic Problem to extract the set of active tasks and use the latter to perform a coordinate transformation that inertially decouples the tasks. Thereby unifying the line of research focusing on optimization-based and passivity-based multi-task controllers. The method is validated in simulation.
format Preprint
id arxiv_https___arxiv_org_abs_2403_08491
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Compliant Hierarchical Control for Arbitrary Equality and Inequality Tasks with Strict and Soft Priorities
Garofalo, Gianluca
Robotics
When a robotic system is redundant with respect to a given task, the remaining degrees of freedom can be used to satisfy additional objectives. With current robotic systems having more and more degrees of freedom, this can lead to an entire hierarchy of tasks that need to be solved according to given priorities. In this paper, the first compliant control strategy is presented that allows to consider an arbitrary number of equality and inequality tasks, while still preserving the natural inertia of the robot. The approach is therefore a generalization of a passivity-based controller to the case of an arbitrary number of equality and inequality tasks. The key idea of the method is to use a Weighted Hierarchical Quadratic Problem to extract the set of active tasks and use the latter to perform a coordinate transformation that inertially decouples the tasks. Thereby unifying the line of research focusing on optimization-based and passivity-based multi-task controllers. The method is validated in simulation.
title Compliant Hierarchical Control for Arbitrary Equality and Inequality Tasks with Strict and Soft Priorities
topic Robotics
url https://arxiv.org/abs/2403.08491