A Method to Guide Local Physical Adaptations in a Robot Based on Phase Portraits

In this paper, we propose a method that shows how phase portraits rendered by a controller can inform the development of a physical adaptation at a single degree of freedom (DoF) for a given control task. This approach has the advantage of having physical adaptations sharing the responsibility of co...

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Main Authors: S. Akhond, N. Herzig, H. Wegiriya, T. Nanayakkara
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/8736966/
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spelling doaj-d82c7c99ec8349659366d1ad6e411a982021-03-29T23:31:06ZengIEEEIEEE Access2169-35362019-01-017788307884110.1109/ACCESS.2019.29231448736966A Method to Guide Local Physical Adaptations in a Robot Based on Phase PortraitsS. Akhond0https://orcid.org/0000-0003-1314-1921N. Herzig1H. Wegiriya2T. Nanayakkara3Design Engineering, Dyson School of Engineering, Imperial College London, London, U.K.Design Engineering, Dyson School of Engineering, Imperial College London, London, U.K.Department of Informatics, Centre for Robotics Research, King’s College London, London, U.K.Design Engineering, Dyson School of Engineering, Imperial College London, London, U.K.In this paper, we propose a method that shows how phase portraits rendered by a controller can inform the development of a physical adaptation at a single degree of freedom (DoF) for a given control task. This approach has the advantage of having physical adaptations sharing the responsibility of control to accomplish a task. We use an inverted pendulum which is reminiscent of the trunk of a biped walker to conduct numerical simulations and hardware experiments to show how our method can innovate a physical adaptation at the pivot joint to reduce the control effort. Our method discovered that a torsional spring at the pivot joint would lead to a lower input effort by the regulator type feedback controller. The method can tune the spring to minimize the total cost of control up to about 32.81%. This physical adaptation framework allows multiple degrees of freedom robotic system to suggest local physical adaptations to accomplish a given control objective.https://ieeexplore.ieee.org/document/8736966/Computer numerical controlembodied controlrobotics and automationrobot motion
collection DOAJ
language English
format Article
sources DOAJ
author S. Akhond
N. Herzig
H. Wegiriya
T. Nanayakkara
spellingShingle S. Akhond
N. Herzig
H. Wegiriya
T. Nanayakkara
A Method to Guide Local Physical Adaptations in a Robot Based on Phase Portraits
IEEE Access
Computer numerical control
embodied control
robotics and automation
robot motion
author_facet S. Akhond
N. Herzig
H. Wegiriya
T. Nanayakkara
author_sort S. Akhond
title A Method to Guide Local Physical Adaptations in a Robot Based on Phase Portraits
title_short A Method to Guide Local Physical Adaptations in a Robot Based on Phase Portraits
title_full A Method to Guide Local Physical Adaptations in a Robot Based on Phase Portraits
title_fullStr A Method to Guide Local Physical Adaptations in a Robot Based on Phase Portraits
title_full_unstemmed A Method to Guide Local Physical Adaptations in a Robot Based on Phase Portraits
title_sort method to guide local physical adaptations in a robot based on phase portraits
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description In this paper, we propose a method that shows how phase portraits rendered by a controller can inform the development of a physical adaptation at a single degree of freedom (DoF) for a given control task. This approach has the advantage of having physical adaptations sharing the responsibility of control to accomplish a task. We use an inverted pendulum which is reminiscent of the trunk of a biped walker to conduct numerical simulations and hardware experiments to show how our method can innovate a physical adaptation at the pivot joint to reduce the control effort. Our method discovered that a torsional spring at the pivot joint would lead to a lower input effort by the regulator type feedback controller. The method can tune the spring to minimize the total cost of control up to about 32.81%. This physical adaptation framework allows multiple degrees of freedom robotic system to suggest local physical adaptations to accomplish a given control objective.
topic Computer numerical control
embodied control
robotics and automation
robot motion
url https://ieeexplore.ieee.org/document/8736966/
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