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...

Full description

Bibliographic Details
Main Authors: Thomas Flayols, Andrea Del Prete, Majid Khadiv, Nicolas Mansard, Ludovic Righetti
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/1/353
id doaj-8dc820107bfc453ea5fef9f22c10c7bf
record_format Article
spelling 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
_version_ 1724364563055378432