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The Neurorobotics Platform Robot Designer: Modeling Morphologies for Embodied Learning Experiments

The more we investigate the principles of motion learning in biological systems, the more we reveal the central role that body morphology plays in motion execution. Not only does anatomy define the kinematics and therefore the complexity of possible movements, but it now becomes clear that part of t...

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Autores principales: Feldotto, Benedikt, Morin, Fabrice O., Knoll, Alois
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9083454/
https://www.ncbi.nlm.nih.gov/pubmed/35548779
http://dx.doi.org/10.3389/fnbot.2022.856727
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author Feldotto, Benedikt
Morin, Fabrice O.
Knoll, Alois
author_facet Feldotto, Benedikt
Morin, Fabrice O.
Knoll, Alois
author_sort Feldotto, Benedikt
collection PubMed
description The more we investigate the principles of motion learning in biological systems, the more we reveal the central role that body morphology plays in motion execution. Not only does anatomy define the kinematics and therefore the complexity of possible movements, but it now becomes clear that part of the computation required for motion control is offloaded to body dynamics (a phenomenon referred to as “Morphological Computation.”) Consequentially, a proper design of body morphology is essential to carry out meaningful simulations on motor control of robotic and musculoskeletal systems. The design should not be fixed for simulation experiments beforehand, but is a central research aspect in every motion learning experiment that requires continuous adaptation during the experimental phase. We herein introduce a plugin for the 3D modeling suite Blender that enables researchers to design morphologies for simulation experiments in, particularly but not restricted to, the Neurorobotics Platform. We include design capabilities for both musculoskeletal bodies, as well as robotic systems in the Robot Designer. Thereby, we hope to not only foster understanding of biological motions and enabling better robot designs, but enabling true Neurorobotic experiments that may consist of biomimetic models such as tendon-driven robot as a mix of both or a transition between both biology and technology. This plugin helps researchers design and parameterize models with a Graphical User Interface and thus simplifies and speeds up the overall design process.
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spelling pubmed-90834542022-05-10 The Neurorobotics Platform Robot Designer: Modeling Morphologies for Embodied Learning Experiments Feldotto, Benedikt Morin, Fabrice O. Knoll, Alois Front Neurorobot Neuroscience The more we investigate the principles of motion learning in biological systems, the more we reveal the central role that body morphology plays in motion execution. Not only does anatomy define the kinematics and therefore the complexity of possible movements, but it now becomes clear that part of the computation required for motion control is offloaded to body dynamics (a phenomenon referred to as “Morphological Computation.”) Consequentially, a proper design of body morphology is essential to carry out meaningful simulations on motor control of robotic and musculoskeletal systems. The design should not be fixed for simulation experiments beforehand, but is a central research aspect in every motion learning experiment that requires continuous adaptation during the experimental phase. We herein introduce a plugin for the 3D modeling suite Blender that enables researchers to design morphologies for simulation experiments in, particularly but not restricted to, the Neurorobotics Platform. We include design capabilities for both musculoskeletal bodies, as well as robotic systems in the Robot Designer. Thereby, we hope to not only foster understanding of biological motions and enabling better robot designs, but enabling true Neurorobotic experiments that may consist of biomimetic models such as tendon-driven robot as a mix of both or a transition between both biology and technology. This plugin helps researchers design and parameterize models with a Graphical User Interface and thus simplifies and speeds up the overall design process. Frontiers Media S.A. 2022-04-25 /pmc/articles/PMC9083454/ /pubmed/35548779 http://dx.doi.org/10.3389/fnbot.2022.856727 Text en Copyright © 2022 Feldotto, Morin and Knoll. https://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) and the copyright owner(s) 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
Feldotto, Benedikt
Morin, Fabrice O.
Knoll, Alois
The Neurorobotics Platform Robot Designer: Modeling Morphologies for Embodied Learning Experiments
title The Neurorobotics Platform Robot Designer: Modeling Morphologies for Embodied Learning Experiments
title_full The Neurorobotics Platform Robot Designer: Modeling Morphologies for Embodied Learning Experiments
title_fullStr The Neurorobotics Platform Robot Designer: Modeling Morphologies for Embodied Learning Experiments
title_full_unstemmed The Neurorobotics Platform Robot Designer: Modeling Morphologies for Embodied Learning Experiments
title_short The Neurorobotics Platform Robot Designer: Modeling Morphologies for Embodied Learning Experiments
title_sort neurorobotics platform robot designer: modeling morphologies for embodied learning experiments
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9083454/
https://www.ncbi.nlm.nih.gov/pubmed/35548779
http://dx.doi.org/10.3389/fnbot.2022.856727
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