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Learning to push and learning to move: the adaptive control of contact forces
To be successful at manipulating objects one needs to apply simultaneously well controlled movements and contact forces. We present a computational theory of how the brain may successfully generate a vast spectrum of interactive behaviors by combining two independent processes. One process is compet...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4635217/ https://www.ncbi.nlm.nih.gov/pubmed/26594163 http://dx.doi.org/10.3389/fncom.2015.00118 |
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author | Casadio, Maura Pressman, Assaf Mussa-Ivaldi, Ferdinando A. |
author_facet | Casadio, Maura Pressman, Assaf Mussa-Ivaldi, Ferdinando A. |
author_sort | Casadio, Maura |
collection | PubMed |
description | To be successful at manipulating objects one needs to apply simultaneously well controlled movements and contact forces. We present a computational theory of how the brain may successfully generate a vast spectrum of interactive behaviors by combining two independent processes. One process is competent to control movements in free space and the other is competent to control contact forces against rigid constraints. Free space and rigid constraints are singularities at the boundaries of a continuum of mechanical impedance. Within this continuum, forces and motions occur in “compatible pairs” connected by the equations of Newtonian dynamics. The force applied to an object determines its motion. Conversely, inverse dynamics determine a unique force trajectory from a movement trajectory. In this perspective, we describe motor learning as a process leading to the discovery of compatible force/motion pairs. The learned compatible pairs constitute a local representation of the environment's mechanics. Experiments on force field adaptation have already provided us with evidence that the brain is able to predict and compensate the forces encountered when one is attempting to generate a motion. Here, we tested the theory in the dual case, i.e., when one attempts at applying a desired contact force against a simulated rigid surface. If the surface becomes unexpectedly compliant, the contact point moves as a function of the applied force and this causes the applied force to deviate from its desired value. We found that, through repeated attempts at generating the desired contact force, subjects discovered the unique compatible hand motion. When, after learning, the rigid contact was unexpectedly restored, subjects displayed after effects of learning, consistent with the concurrent operation of a motion control system and a force control system. Together, theory and experiment support a new and broader view of modularity in the coordinated control of forces and motions. |
format | Online Article Text |
id | pubmed-4635217 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-46352172015-11-20 Learning to push and learning to move: the adaptive control of contact forces Casadio, Maura Pressman, Assaf Mussa-Ivaldi, Ferdinando A. Front Comput Neurosci Neuroscience To be successful at manipulating objects one needs to apply simultaneously well controlled movements and contact forces. We present a computational theory of how the brain may successfully generate a vast spectrum of interactive behaviors by combining two independent processes. One process is competent to control movements in free space and the other is competent to control contact forces against rigid constraints. Free space and rigid constraints are singularities at the boundaries of a continuum of mechanical impedance. Within this continuum, forces and motions occur in “compatible pairs” connected by the equations of Newtonian dynamics. The force applied to an object determines its motion. Conversely, inverse dynamics determine a unique force trajectory from a movement trajectory. In this perspective, we describe motor learning as a process leading to the discovery of compatible force/motion pairs. The learned compatible pairs constitute a local representation of the environment's mechanics. Experiments on force field adaptation have already provided us with evidence that the brain is able to predict and compensate the forces encountered when one is attempting to generate a motion. Here, we tested the theory in the dual case, i.e., when one attempts at applying a desired contact force against a simulated rigid surface. If the surface becomes unexpectedly compliant, the contact point moves as a function of the applied force and this causes the applied force to deviate from its desired value. We found that, through repeated attempts at generating the desired contact force, subjects discovered the unique compatible hand motion. When, after learning, the rigid contact was unexpectedly restored, subjects displayed after effects of learning, consistent with the concurrent operation of a motion control system and a force control system. Together, theory and experiment support a new and broader view of modularity in the coordinated control of forces and motions. Frontiers Media S.A. 2015-11-06 /pmc/articles/PMC4635217/ /pubmed/26594163 http://dx.doi.org/10.3389/fncom.2015.00118 Text en Copyright © 2015 Casadio, Pressman and Mussa-Ivaldi. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Casadio, Maura Pressman, Assaf Mussa-Ivaldi, Ferdinando A. Learning to push and learning to move: the adaptive control of contact forces |
title | Learning to push and learning to move: the adaptive control of contact forces |
title_full | Learning to push and learning to move: the adaptive control of contact forces |
title_fullStr | Learning to push and learning to move: the adaptive control of contact forces |
title_full_unstemmed | Learning to push and learning to move: the adaptive control of contact forces |
title_short | Learning to push and learning to move: the adaptive control of contact forces |
title_sort | learning to push and learning to move: the adaptive control of contact forces |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4635217/ https://www.ncbi.nlm.nih.gov/pubmed/26594163 http://dx.doi.org/10.3389/fncom.2015.00118 |
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