Online Non-linear Centroidal MPC for Humanoid Robots Payload Carrying with Contact-Stable Force Parametrization

Fuente: arXiv
Enregistré dans:
Détails bibliographiques
Auteurs principaux: Elobaid, Mohamed, Romualdi, Giulio, Nava, Gabriele, Rapetti, Lorenzo, Mohamed, Hosameldin Awadalla Omer, Pucci, Daniele
Format: Preprint
Publié: 2023
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1866917543474626560
author Elobaid, Mohamed
Romualdi, Giulio
Nava, Gabriele
Rapetti, Lorenzo
Mohamed, Hosameldin Awadalla Omer
Pucci, Daniele
author_facet Elobaid, Mohamed
Romualdi, Giulio
Nava, Gabriele
Rapetti, Lorenzo
Mohamed, Hosameldin Awadalla Omer
Pucci, Daniele
contents In this paper we consider the problem of allowing a humanoid robot that is subject to a persistent disturbance, in the form of a payload-carrying task, to follow given planned footsteps. To solve this problem, we combine an online nonlinear centroidal Model Predictive Controller - MPC with a contact stable force parametrization. The cost function of the MPC is augmented with terms handling the disturbance and regularizing the parameter. The performance of the resulting controller is validated both in simulations and on the humanoid robot iCub. Finally, the effect of using the parametrization on the computational time of the controller is briefly studied.
format Preprint
id arxiv_https___arxiv_org_abs_2305_10917
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Online Non-linear Centroidal MPC for Humanoid Robots Payload Carrying with Contact-Stable Force Parametrization
Elobaid, Mohamed
Romualdi, Giulio
Nava, Gabriele
Rapetti, Lorenzo
Mohamed, Hosameldin Awadalla Omer
Pucci, Daniele
Robotics
In this paper we consider the problem of allowing a humanoid robot that is subject to a persistent disturbance, in the form of a payload-carrying task, to follow given planned footsteps. To solve this problem, we combine an online nonlinear centroidal Model Predictive Controller - MPC with a contact stable force parametrization. The cost function of the MPC is augmented with terms handling the disturbance and regularizing the parameter. The performance of the resulting controller is validated both in simulations and on the humanoid robot iCub. Finally, the effect of using the parametrization on the computational time of the controller is briefly studied.
title Online Non-linear Centroidal MPC for Humanoid Robots Payload Carrying with Contact-Stable Force Parametrization
topic Robotics
url https://arxiv.org/abs/2305.10917