Safe Aerial Manipulator Maneuvering and Force Exertion via Control Barrier Functions

Fuente: arXiv
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Autori principali: Chaikalis, Dimitris, Goncalves, Vinicius, Evangeliou, Nikolaos, Tzes, Anthony, Khorrami, Farshad
Natura: Preprint
Pubblicazione: 2023
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author Chaikalis, Dimitris
Goncalves, Vinicius
Evangeliou, Nikolaos
Tzes, Anthony
Khorrami, Farshad
author_facet Chaikalis, Dimitris
Goncalves, Vinicius
Evangeliou, Nikolaos
Tzes, Anthony
Khorrami, Farshad
contents This article introduces a safe control strategy for application of forces to an external object using a dexterous robotic arm mounted on an unmanned Aerial Vehicle (UAV). A hybrid force-motion controller has been developed for this purpose. This controller employs a Control Barrier Function (CBF) constraint within an optimization framework based on Quadratic Programming (QP). The objective is to enforce a predefined relationship between the end-effector's approach motion and its alignment with the surface, thereby ensuring safe operational dynamics. No compliance model for the environment is necessary to implement the controller, provided end-effector force feedback exists. Furthermore, the paper provides formal results, like guarantees of feasibility for the optimization problem, continuity of the controller input as a function of the configuration, and Lyapunov stability. In addition, it presents experimental results in various situations to demonstrate its practical applicability on an aerial manipulator platform.
format Preprint
id arxiv_https___arxiv_org_abs_2309_07709
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Safe Aerial Manipulator Maneuvering and Force Exertion via Control Barrier Functions
Chaikalis, Dimitris
Goncalves, Vinicius
Evangeliou, Nikolaos
Tzes, Anthony
Khorrami, Farshad
Robotics
This article introduces a safe control strategy for application of forces to an external object using a dexterous robotic arm mounted on an unmanned Aerial Vehicle (UAV). A hybrid force-motion controller has been developed for this purpose. This controller employs a Control Barrier Function (CBF) constraint within an optimization framework based on Quadratic Programming (QP). The objective is to enforce a predefined relationship between the end-effector's approach motion and its alignment with the surface, thereby ensuring safe operational dynamics. No compliance model for the environment is necessary to implement the controller, provided end-effector force feedback exists. Furthermore, the paper provides formal results, like guarantees of feasibility for the optimization problem, continuity of the controller input as a function of the configuration, and Lyapunov stability. In addition, it presents experimental results in various situations to demonstrate its practical applicability on an aerial manipulator platform.
title Safe Aerial Manipulator Maneuvering and Force Exertion via Control Barrier Functions
topic Robotics
url https://arxiv.org/abs/2309.07709