Reactive Balance Control for Legged Robots under Visco-Elastic Contacts
Contacts between robots and environment are often assumed to be rigid for control purposes. This assumption can lead to poor performance when contacts are soft and/or underdamped. However, the problem of balancing on soft contacts has not received much attention in the literature. This paper present...
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doaj-8dc820107bfc453ea5fef9f22c10c7bf2021-01-01T00:04:47ZengMDPI AGApplied Sciences2076-34172021-12-011135335310.3390/app11010353Reactive Balance Control for Legged Robots under Visco-Elastic ContactsThomas Flayols0Andrea Del Prete1Majid Khadiv2Nicolas Mansard3Ludovic Righetti4Centre National de la Recherche Scientifique (CNRS), Laboratoire d’Analyse et d’Architecture des Systemes (LAAS), 7 Avenue du Colonel Roche, Univ de Toulouse, LAAS, F-31400 Toulouse, FranceIndustrial Engineering Department, University of Trento, 30123 Trento, ItalyMax Planck Institute for Intelligent Systems, 72076 Tuebingen, GermanyCentre National de la Recherche Scientifique (CNRS), Laboratoire d’Analyse et d’Architecture des Systemes (LAAS), 7 Avenue du Colonel Roche, Univ de Toulouse, LAAS, F-31400 Toulouse, FranceMax Planck Institute for Intelligent Systems, 72076 Tuebingen, GermanyContacts between robots and environment are often assumed to be rigid for control purposes. This assumption can lead to poor performance when contacts are soft and/or underdamped. However, the problem of balancing on soft contacts has not received much attention in the literature. This paper presents two novel approaches to control a legged robot balancing on visco-elastic contacts, and compares them to other two state-of-the-art methods. Our simulation results show that performance heavily depends on the contact stiffness and the noises/uncertainties introduced in the simulation. Briefly, the two novel controllers performed best for soft/medium contacts, whereas “inverse-dynamics control under rigid-contact assumptions” was the best one for stiff contacts. Admittance control was instead the most robust, but suffered in terms of performance. These results shed light on this challenging problem, while pointing out interesting directions for future investigation.https://www.mdpi.com/2076-3417/11/1/353balance controlforce controlelastic contactsoptimization-based controlhumanoid robots |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Thomas Flayols Andrea Del Prete Majid Khadiv Nicolas Mansard Ludovic Righetti |
spellingShingle |
Thomas Flayols Andrea Del Prete Majid Khadiv Nicolas Mansard Ludovic Righetti Reactive Balance Control for Legged Robots under Visco-Elastic Contacts Applied Sciences balance control force control elastic contacts optimization-based control humanoid robots |
author_facet |
Thomas Flayols Andrea Del Prete Majid Khadiv Nicolas Mansard Ludovic Righetti |
author_sort |
Thomas Flayols |
title |
Reactive Balance Control for Legged Robots under Visco-Elastic Contacts |
title_short |
Reactive Balance Control for Legged Robots under Visco-Elastic Contacts |
title_full |
Reactive Balance Control for Legged Robots under Visco-Elastic Contacts |
title_fullStr |
Reactive Balance Control for Legged Robots under Visco-Elastic Contacts |
title_full_unstemmed |
Reactive Balance Control for Legged Robots under Visco-Elastic Contacts |
title_sort |
reactive balance control for legged robots under visco-elastic contacts |
publisher |
MDPI AG |
series |
Applied Sciences |
issn |
2076-3417 |
publishDate |
2021-12-01 |
description |
Contacts between robots and environment are often assumed to be rigid for control purposes. This assumption can lead to poor performance when contacts are soft and/or underdamped. However, the problem of balancing on soft contacts has not received much attention in the literature. This paper presents two novel approaches to control a legged robot balancing on visco-elastic contacts, and compares them to other two state-of-the-art methods. Our simulation results show that performance heavily depends on the contact stiffness and the noises/uncertainties introduced in the simulation. Briefly, the two novel controllers performed best for soft/medium contacts, whereas “inverse-dynamics control under rigid-contact assumptions” was the best one for stiff contacts. Admittance control was instead the most robust, but suffered in terms of performance. These results shed light on this challenging problem, while pointing out interesting directions for future investigation. |
topic |
balance control force control elastic contacts optimization-based control humanoid robots |
url |
https://www.mdpi.com/2076-3417/11/1/353 |
work_keys_str_mv |
AT thomasflayols reactivebalancecontrolforleggedrobotsunderviscoelasticcontacts AT andreadelprete reactivebalancecontrolforleggedrobotsunderviscoelasticcontacts AT majidkhadiv reactivebalancecontrolforleggedrobotsunderviscoelasticcontacts AT nicolasmansard reactivebalancecontrolforleggedrobotsunderviscoelasticcontacts AT ludovicrighetti reactivebalancecontrolforleggedrobotsunderviscoelasticcontacts |
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