Human–Exoskeleton Interaction Force Estimation in Indego Exoskeleton

Accurate interaction force estimation can play an important role in optimizing human–robot interaction in an exoskeleton. In this work, we propose a novel approach for the system identification of exoskeleton dynamics in the presence of interaction forces as a whole multibody system without imposing...

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Main Authors: Mohammad Shushtari, Arash Arami
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Robotics
Subjects:
Online Access:https://www.mdpi.com/2218-6581/12/3/66
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author Mohammad Shushtari
Arash Arami
author_facet Mohammad Shushtari
Arash Arami
author_sort Mohammad Shushtari
collection DOAJ
description Accurate interaction force estimation can play an important role in optimizing human–robot interaction in an exoskeleton. In this work, we propose a novel approach for the system identification of exoskeleton dynamics in the presence of interaction forces as a whole multibody system without imposing any constraints on the exoskeleton dynamics. We hung the exoskeleton through a linear spring and excited the exoskeleton joints with chirp commands while measuring the exoskeleton–environment interaction force. Several structures of neural networks were trained to model the exoskeleton passive dynamics and estimate the interaction force. Our testing results indicated that a deep neural network with 250 neurons and 10 time–delays could obtain a sufficiently accurate estimation of the interaction force, resulting in an RMSE of 1.23 on Z–normalized applied torques and an adjusted <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> of 0.89.
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spelling doaj.art-8c732d2ca2a44061bb6a3925d1360e442023-11-18T12:28:42ZengMDPI AGRobotics2218-65812023-05-011236610.3390/robotics12030066Human–Exoskeleton Interaction Force Estimation in Indego ExoskeletonMohammad Shushtari0Arash Arami1Department of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, ON N2L 3G1, CanadaDepartment of Mechanical and Mechatronics Engineering, University of Waterloo, Waterloo, ON N2L 3G1, CanadaAccurate interaction force estimation can play an important role in optimizing human–robot interaction in an exoskeleton. In this work, we propose a novel approach for the system identification of exoskeleton dynamics in the presence of interaction forces as a whole multibody system without imposing any constraints on the exoskeleton dynamics. We hung the exoskeleton through a linear spring and excited the exoskeleton joints with chirp commands while measuring the exoskeleton–environment interaction force. Several structures of neural networks were trained to model the exoskeleton passive dynamics and estimate the interaction force. Our testing results indicated that a deep neural network with 250 neurons and 10 time–delays could obtain a sufficiently accurate estimation of the interaction force, resulting in an RMSE of 1.23 on Z–normalized applied torques and an adjusted <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> of 0.89.https://www.mdpi.com/2218-6581/12/3/66lower-limb exoskeletondynamic identificationinteraction force estimation
spellingShingle Mohammad Shushtari
Arash Arami
Human–Exoskeleton Interaction Force Estimation in Indego Exoskeleton
Robotics
lower-limb exoskeleton
dynamic identification
interaction force estimation
title Human–Exoskeleton Interaction Force Estimation in Indego Exoskeleton
title_full Human–Exoskeleton Interaction Force Estimation in Indego Exoskeleton
title_fullStr Human–Exoskeleton Interaction Force Estimation in Indego Exoskeleton
title_full_unstemmed Human–Exoskeleton Interaction Force Estimation in Indego Exoskeleton
title_short Human–Exoskeleton Interaction Force Estimation in Indego Exoskeleton
title_sort human exoskeleton interaction force estimation in indego exoskeleton
topic lower-limb exoskeleton
dynamic identification
interaction force estimation
url https://www.mdpi.com/2218-6581/12/3/66
work_keys_str_mv AT mohammadshushtari humanexoskeletoninteractionforceestimationinindegoexoskeleton
AT arasharami humanexoskeletoninteractionforceestimationinindegoexoskeleton