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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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/ |
work_keys_str_mv |
AT sakhond amethodtoguidelocalphysicaladaptationsinarobotbasedonphaseportraits AT nherzig amethodtoguidelocalphysicaladaptationsinarobotbasedonphaseportraits AT hwegiriya amethodtoguidelocalphysicaladaptationsinarobotbasedonphaseportraits AT tnanayakkara amethodtoguidelocalphysicaladaptationsinarobotbasedonphaseportraits AT sakhond methodtoguidelocalphysicaladaptationsinarobotbasedonphaseportraits AT nherzig methodtoguidelocalphysicaladaptationsinarobotbasedonphaseportraits AT hwegiriya methodtoguidelocalphysicaladaptationsinarobotbasedonphaseportraits AT tnanayakkara methodtoguidelocalphysicaladaptationsinarobotbasedonphaseportraits |
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1724189363620806656 |