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Reach Space Analysis of Baseline Differential Extrinsic Plasticity Control

The neuroplasticity rule Differential Extrinsic Plasticity (DEP) has been studied in the context of goal-free simulated agents, producing realistic-looking, environmentally-aware behaviors, but no successful control mechanism has yet been implemented for intentional behavior. The goal of this paper...

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Detalles Bibliográficos
Autores principales: Birrell, Simon, Abdulali, Arsen, Iida, Fumiya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9198443/
https://www.ncbi.nlm.nih.gov/pubmed/35721277
http://dx.doi.org/10.3389/fnbot.2022.848084
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author Birrell, Simon
Abdulali, Arsen
Iida, Fumiya
author_facet Birrell, Simon
Abdulali, Arsen
Iida, Fumiya
author_sort Birrell, Simon
collection PubMed
description The neuroplasticity rule Differential Extrinsic Plasticity (DEP) has been studied in the context of goal-free simulated agents, producing realistic-looking, environmentally-aware behaviors, but no successful control mechanism has yet been implemented for intentional behavior. The goal of this paper is to determine if “short-circuited DEP,” a simpler, open-loop variant can generate desired trajectories in a robot arm. DEP dynamics, both transient and limit cycles are poorly understood. Experiments were performed to elucidate these dynamics and test the ability of a robot to leverage these dynamics for target reaching and circular motions.
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spelling pubmed-91984432022-06-16 Reach Space Analysis of Baseline Differential Extrinsic Plasticity Control Birrell, Simon Abdulali, Arsen Iida, Fumiya Front Neurorobot Neuroscience The neuroplasticity rule Differential Extrinsic Plasticity (DEP) has been studied in the context of goal-free simulated agents, producing realistic-looking, environmentally-aware behaviors, but no successful control mechanism has yet been implemented for intentional behavior. The goal of this paper is to determine if “short-circuited DEP,” a simpler, open-loop variant can generate desired trajectories in a robot arm. DEP dynamics, both transient and limit cycles are poorly understood. Experiments were performed to elucidate these dynamics and test the ability of a robot to leverage these dynamics for target reaching and circular motions. Frontiers Media S.A. 2022-06-01 /pmc/articles/PMC9198443/ /pubmed/35721277 http://dx.doi.org/10.3389/fnbot.2022.848084 Text en Copyright © 2022 Birrell, Abdulali and Iida. 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
Birrell, Simon
Abdulali, Arsen
Iida, Fumiya
Reach Space Analysis of Baseline Differential Extrinsic Plasticity Control
title Reach Space Analysis of Baseline Differential Extrinsic Plasticity Control
title_full Reach Space Analysis of Baseline Differential Extrinsic Plasticity Control
title_fullStr Reach Space Analysis of Baseline Differential Extrinsic Plasticity Control
title_full_unstemmed Reach Space Analysis of Baseline Differential Extrinsic Plasticity Control
title_short Reach Space Analysis of Baseline Differential Extrinsic Plasticity Control
title_sort reach space analysis of baseline differential extrinsic plasticity control
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9198443/
https://www.ncbi.nlm.nih.gov/pubmed/35721277
http://dx.doi.org/10.3389/fnbot.2022.848084
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