Interaction force and motion estimators facilitating impedance control of the upper limb rehabilitation robot

Aitziber Mancisidor; Asier Zubizarreta; Itziar Cabanes; Pablo Bengoa; Je Hyung Jung

doi:10.1109/ICORR.2017.8009307

Interaction force and motion estimators facilitating impedance control of the upper limb rehabilitation robot

Aitziber Mancisidor, Asier Zubizarreta, Itziar Cabanes, Pablo Bengoa, Je Hyung Jung

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

In order to enhance the performance of rehabilitation robots, it is imperative to know both force and motion caused by the interaction between user and robot. However, common direct measurement of both signals through force and motion sensors not only increases the complexity of the system but also impedes affordability of the system. As an alternative of the direct measurement, in this work, we present new force and motion estimators for the proper control of the upper-limb rehabilitation Universal Haptic Pantograph (UHP) robot. The estimators are based on the kinematic and dynamic model of the UHP and the use of signals measured by means of common low-cost sensors. In order to demonstrate the effectiveness of the estimators, several experimental tests were carried out. The force and impedance control of the UHP was implemented first by directly measuring the interaction force using accurate extra sensors and the robot performance was compared to the case where the proposed estimators replace the direct measured values. The experimental results reveal that the controller based on the estimators has similar performance to that using direct measurement (less than 1 N difference in root mean square error between two cases), indicating that the proposed force and motion estimators can facilitate implementation of interactive controller for the UHP in robot-mediated rehabilitation trainings.

Original language	English
Title of host publication	unknown
Editors	Arash Ajoudani, Panagiotis Artemiadis, Philipp Beckerle, Giorgio Grioli, Olivier Lambercy, Katja Mombaur, Domen Novak, Georg Rauter, Carlos Rodriguez Guerrero, Gionata Salvietti, Farshid Amirabdollahian, Sivakumar Balasubramanian, Claudio Castellini, Giovanni Di Pino, Zhao Guo, Charmayne Hughes, Fumiya Iida, Tommaso Lenzi, Emanuele Ruffaldi, Fabrizio Sergi, Gim Song Soh, Marco Caimmi, Leonardo Cappello, Raffaella Carloni, Tom Carlson, Maura Casadio, Martina Coscia, Dalia De Santis, Arturo Forner-Cordero, Matthew Howard, Davide Piovesan, Adriano Siqueira, Frank Sup, Masia Lorenzo, Manuel Giuseppe Catalano, Hyunglae Lee, Carlo Menon, Stanisa Raspopovic, Mo Rastgaar, Renaud Ronsse, Edwin van Asseldonk, Bram Vanderborght, Madhusudhan Venkadesan, Matteo Bianchi, David Braun, Sasha Blue Godfrey, Fulvio Mastrogiovanni, Andrew McDaid, Stefano Rossi, Jacopo Zenzeri, Domenico Formica, Nikolaos Karavas, Laura Marchal-Crespo, Kyle B. Reed, Nevio Luigi Tagliamonte, Etienne Burdet, Angelo Basteris, Domenico Campolo, Ashish Deshpande, Venketesh Dubey, Asif Hussain, Vittorio Sanguineti, Ramazan Unal, Glauco Augusto de Paula Caurin, Yasuharu Koike, Stefano Mazzoleni, Hyung-Soon Park, C. David Remy, Ludovic Saint-Bauzel, Nikos Tsagarakis, Jan Veneman, Wenlong Zhang
Publisher	IEEE Xplore
Pages	561-566
Number of pages	6
ISBN (Electronic)	9781538622964
DOIs	https://doi.org/10.1109/ICORR.2017.8009307
Publication status	Published - 15 Aug 2017
Event	2017 International Conference on Rehabilitation Robotics, ICORR 2017 - London, United Kingdom Duration: 17 Jul 2017 → 20 Jul 2017

Publication series

Name	1945-7898

Conference

Conference	2017 International Conference on Rehabilitation Robotics, ICORR 2017
Country/Territory	United Kingdom
City	London
Period	17/07/17 → 20/07/17

Keywords

Rehabilitation robot
Estimators
Impedance control
Upper limb
Motion
Force
UHP

Access to Document

10.1109/ICORR.2017.8009307

ICORR+2017 Rehabweek final IEEEcopyrightFinal published version, 1.11 MB

Cite this

Mancisidor, A., Zubizarreta, A., Cabanes, I., Bengoa, P., & Jung, J. H. (2017). Interaction force and motion estimators facilitating impedance control of the upper limb rehabilitation robot. In A. Ajoudani, P. Artemiadis, P. Beckerle, G. Grioli, O. Lambercy, K. Mombaur, D. Novak, G. Rauter, C. Rodriguez Guerrero, G. Salvietti, F. Amirabdollahian, S. Balasubramanian, C. Castellini, G. Di Pino, Z. Guo, C. Hughes, F. Iida, T. Lenzi, E. Ruffaldi, F. Sergi, G. S. Soh, M. Caimmi, L. Cappello, R. Carloni, T. Carlson, M. Casadio, M. Coscia, D. De Santis, A. Forner-Cordero, M. Howard, D. Piovesan, A. Siqueira, F. Sup, M. Lorenzo, M. G. Catalano, H. Lee, C. Menon, S. Raspopovic, M. Rastgaar, R. Ronsse, E. van Asseldonk, B. Vanderborght, M. Venkadesan, M. Bianchi, D. Braun, S. B. Godfrey, F. Mastrogiovanni, A. McDaid, S. Rossi, J. Zenzeri, D. Formica, N. Karavas, L. Marchal-Crespo, K. B. Reed, N. L. Tagliamonte, E. Burdet, A. Basteris, D. Campolo, A. Deshpande, V. Dubey, A. Hussain, V. Sanguineti, R. Unal, G. A. D. P. Caurin, Y. Koike, S. Mazzoleni, H.-S. Park, C. D. Remy, L. Saint-Bauzel, N. Tsagarakis, J. Veneman, ... W. Zhang (Eds.), unknown (pp. 561-566). (1945-7898). IEEE Xplore. https://doi.org/10.1109/ICORR.2017.8009307

Mancisidor, Aitziber ; Zubizarreta, Asier ; Cabanes, Itziar et al. / Interaction force and motion estimators facilitating impedance control of the upper limb rehabilitation robot. unknown. editor / Arash Ajoudani ; Panagiotis Artemiadis ; Philipp Beckerle ; Giorgio Grioli ; Olivier Lambercy ; Katja Mombaur ; Domen Novak ; Georg Rauter ; Carlos Rodriguez Guerrero ; Gionata Salvietti ; Farshid Amirabdollahian ; Sivakumar Balasubramanian ; Claudio Castellini ; Giovanni Di Pino ; Zhao Guo ; Charmayne Hughes ; Fumiya Iida ; Tommaso Lenzi ; Emanuele Ruffaldi ; Fabrizio Sergi ; Gim Song Soh ; Marco Caimmi ; Leonardo Cappello ; Raffaella Carloni ; Tom Carlson ; Maura Casadio ; Martina Coscia ; Dalia De Santis ; Arturo Forner-Cordero ; Matthew Howard ; Davide Piovesan ; Adriano Siqueira ; Frank Sup ; Masia Lorenzo ; Manuel Giuseppe Catalano ; Hyunglae Lee ; Carlo Menon ; Stanisa Raspopovic ; Mo Rastgaar ; Renaud Ronsse ; Edwin van Asseldonk ; Bram Vanderborght ; Madhusudhan Venkadesan ; Matteo Bianchi ; David Braun ; Sasha Blue Godfrey ; Fulvio Mastrogiovanni ; Andrew McDaid ; Stefano Rossi ; Jacopo Zenzeri ; Domenico Formica ; Nikolaos Karavas ; Laura Marchal-Crespo ; Kyle B. Reed ; Nevio Luigi Tagliamonte ; Etienne Burdet ; Angelo Basteris ; Domenico Campolo ; Ashish Deshpande ; Venketesh Dubey ; Asif Hussain ; Vittorio Sanguineti ; Ramazan Unal ; Glauco Augusto de Paula Caurin ; Yasuharu Koike ; Stefano Mazzoleni ; Hyung-Soon Park ; C. David Remy ; Ludovic Saint-Bauzel ; Nikos Tsagarakis ; Jan Veneman ; Wenlong Zhang. IEEE Xplore, 2017. pp. 561-566 (1945-7898).

@inproceedings{302a6543230e4feea670d8774f7079f5,

title = "Interaction force and motion estimators facilitating impedance control of the upper limb rehabilitation robot",

abstract = "In order to enhance the performance of rehabilitation robots, it is imperative to know both force and motion caused by the interaction between user and robot. However, common direct measurement of both signals through force and motion sensors not only increases the complexity of the system but also impedes affordability of the system. As an alternative of the direct measurement, in this work, we present new force and motion estimators for the proper control of the upper-limb rehabilitation Universal Haptic Pantograph (UHP) robot. The estimators are based on the kinematic and dynamic model of the UHP and the use of signals measured by means of common low-cost sensors. In order to demonstrate the effectiveness of the estimators, several experimental tests were carried out. The force and impedance control of the UHP was implemented first by directly measuring the interaction force using accurate extra sensors and the robot performance was compared to the case where the proposed estimators replace the direct measured values. The experimental results reveal that the controller based on the estimators has similar performance to that using direct measurement (less than 1 N difference in root mean square error between two cases), indicating that the proposed force and motion estimators can facilitate implementation of interactive controller for the UHP in robot-mediated rehabilitation trainings.",

keywords = "Rehabilitation robot, Estimators, Impedance control, Upper limb, Motion, Force, UHP, Rehabilitation robot, Estimators, Impedance control, Upper limb, Motion, Force, UHP",

author = "Aitziber Mancisidor and Asier Zubizarreta and Itziar Cabanes and Pablo Bengoa and Jung, {Je Hyung}",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 2017 International Conference on Rehabilitation Robotics, ICORR 2017 ; Conference date: 17-07-2017 Through 20-07-2017",

year = "2017",

month = aug,

day = "15",

doi = "10.1109/ICORR.2017.8009307",

language = "English",

series = "1945-7898",

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editor = "Arash Ajoudani and Panagiotis Artemiadis and Philipp Beckerle and Giorgio Grioli and Olivier Lambercy and Katja Mombaur and Domen Novak and Georg Rauter and {Rodriguez Guerrero}, Carlos and Gionata Salvietti and Farshid Amirabdollahian and Sivakumar Balasubramanian and Claudio Castellini and {Di Pino}, Giovanni and Zhao Guo and Charmayne Hughes and Fumiya Iida and Tommaso Lenzi and Emanuele Ruffaldi and Fabrizio Sergi and Soh, {Gim Song} and Marco Caimmi and Leonardo Cappello and Raffaella Carloni and Tom Carlson and Maura Casadio and Martina Coscia and {De Santis}, Dalia and Arturo Forner-Cordero and Matthew Howard and Davide Piovesan and Adriano Siqueira and Frank Sup and Masia Lorenzo and Catalano, {Manuel Giuseppe} and Hyunglae Lee and Carlo Menon and Stanisa Raspopovic and Mo Rastgaar and Renaud Ronsse and {van Asseldonk}, Edwin and Bram Vanderborght and Madhusudhan Venkadesan and Matteo Bianchi and David Braun and Godfrey, {Sasha Blue} and Fulvio Mastrogiovanni and Andrew McDaid and Stefano Rossi and Jacopo Zenzeri and Domenico Formica and Nikolaos Karavas and Laura Marchal-Crespo and Reed, {Kyle B.} and Tagliamonte, {Nevio Luigi} and Etienne Burdet and Angelo Basteris and Domenico Campolo and Ashish Deshpande and Venketesh Dubey and Asif Hussain and Vittorio Sanguineti and Ramazan Unal and Caurin, {Glauco Augusto de Paula} and Yasuharu Koike and Stefano Mazzoleni and Hyung-Soon Park and Remy, {C. David} and Ludovic Saint-Bauzel and Nikos Tsagarakis and Jan Veneman and Wenlong Zhang",

booktitle = "unknown",

}

Mancisidor, A, Zubizarreta, A, Cabanes, I, Bengoa, P & Jung, JH 2017, Interaction force and motion estimators facilitating impedance control of the upper limb rehabilitation robot. in A Ajoudani, P Artemiadis, P Beckerle, G Grioli, O Lambercy, K Mombaur, D Novak, G Rauter, C Rodriguez Guerrero, G Salvietti, F Amirabdollahian, S Balasubramanian, C Castellini, G Di Pino, Z Guo, C Hughes, F Iida, T Lenzi, E Ruffaldi, F Sergi, GS Soh, M Caimmi, L Cappello, R Carloni, T Carlson, M Casadio, M Coscia, D De Santis, A Forner-Cordero, M Howard, D Piovesan, A Siqueira, F Sup, M Lorenzo, MG Catalano, H Lee, C Menon, S Raspopovic, M Rastgaar, R Ronsse, E van Asseldonk, B Vanderborght, M Venkadesan, M Bianchi, D Braun, SB Godfrey, F Mastrogiovanni, A McDaid, S Rossi, J Zenzeri, D Formica, N Karavas, L Marchal-Crespo, KB Reed, NL Tagliamonte, E Burdet, A Basteris, D Campolo, A Deshpande, V Dubey, A Hussain, V Sanguineti, R Unal, GADP Caurin, Y Koike, S Mazzoleni, H-S Park, CD Remy, L Saint-Bauzel, N Tsagarakis, J Veneman & W Zhang (eds), unknown. 1945-7898, IEEE Xplore, pp. 561-566, 2017 International Conference on Rehabilitation Robotics, ICORR 2017, London, United Kingdom, 17/07/17. https://doi.org/10.1109/ICORR.2017.8009307

Interaction force and motion estimators facilitating impedance control of the upper limb rehabilitation robot. / Mancisidor, Aitziber; Zubizarreta, Asier; Cabanes, Itziar et al.
unknown. ed. / Arash Ajoudani; Panagiotis Artemiadis; Philipp Beckerle; Giorgio Grioli; Olivier Lambercy; Katja Mombaur; Domen Novak; Georg Rauter; Carlos Rodriguez Guerrero; Gionata Salvietti; Farshid Amirabdollahian; Sivakumar Balasubramanian; Claudio Castellini; Giovanni Di Pino; Zhao Guo; Charmayne Hughes; Fumiya Iida; Tommaso Lenzi; Emanuele Ruffaldi; Fabrizio Sergi; Gim Song Soh; Marco Caimmi; Leonardo Cappello; Raffaella Carloni; Tom Carlson; Maura Casadio; Martina Coscia; Dalia De Santis; Arturo Forner-Cordero; Matthew Howard; Davide Piovesan; Adriano Siqueira; Frank Sup; Masia Lorenzo; Manuel Giuseppe Catalano; Hyunglae Lee; Carlo Menon; Stanisa Raspopovic; Mo Rastgaar; Renaud Ronsse; Edwin van Asseldonk; Bram Vanderborght; Madhusudhan Venkadesan; Matteo Bianchi; David Braun; Sasha Blue Godfrey; Fulvio Mastrogiovanni; Andrew McDaid; Stefano Rossi; Jacopo Zenzeri; Domenico Formica; Nikolaos Karavas; Laura Marchal-Crespo; Kyle B. Reed; Nevio Luigi Tagliamonte; Etienne Burdet; Angelo Basteris; Domenico Campolo; Ashish Deshpande; Venketesh Dubey; Asif Hussain; Vittorio Sanguineti; Ramazan Unal; Glauco Augusto de Paula Caurin; Yasuharu Koike; Stefano Mazzoleni; Hyung-Soon Park; C. David Remy; Ludovic Saint-Bauzel; Nikos Tsagarakis; Jan Veneman; Wenlong Zhang. IEEE Xplore, 2017. p. 561-566 (1945-7898).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Interaction force and motion estimators facilitating impedance control of the upper limb rehabilitation robot

AU - Mancisidor, Aitziber

AU - Zubizarreta, Asier

AU - Cabanes, Itziar

AU - Bengoa, Pablo

AU - Jung, Je Hyung

PY - 2017/8/15

Y1 - 2017/8/15

N2 - In order to enhance the performance of rehabilitation robots, it is imperative to know both force and motion caused by the interaction between user and robot. However, common direct measurement of both signals through force and motion sensors not only increases the complexity of the system but also impedes affordability of the system. As an alternative of the direct measurement, in this work, we present new force and motion estimators for the proper control of the upper-limb rehabilitation Universal Haptic Pantograph (UHP) robot. The estimators are based on the kinematic and dynamic model of the UHP and the use of signals measured by means of common low-cost sensors. In order to demonstrate the effectiveness of the estimators, several experimental tests were carried out. The force and impedance control of the UHP was implemented first by directly measuring the interaction force using accurate extra sensors and the robot performance was compared to the case where the proposed estimators replace the direct measured values. The experimental results reveal that the controller based on the estimators has similar performance to that using direct measurement (less than 1 N difference in root mean square error between two cases), indicating that the proposed force and motion estimators can facilitate implementation of interactive controller for the UHP in robot-mediated rehabilitation trainings.

AB - In order to enhance the performance of rehabilitation robots, it is imperative to know both force and motion caused by the interaction between user and robot. However, common direct measurement of both signals through force and motion sensors not only increases the complexity of the system but also impedes affordability of the system. As an alternative of the direct measurement, in this work, we present new force and motion estimators for the proper control of the upper-limb rehabilitation Universal Haptic Pantograph (UHP) robot. The estimators are based on the kinematic and dynamic model of the UHP and the use of signals measured by means of common low-cost sensors. In order to demonstrate the effectiveness of the estimators, several experimental tests were carried out. The force and impedance control of the UHP was implemented first by directly measuring the interaction force using accurate extra sensors and the robot performance was compared to the case where the proposed estimators replace the direct measured values. The experimental results reveal that the controller based on the estimators has similar performance to that using direct measurement (less than 1 N difference in root mean square error between two cases), indicating that the proposed force and motion estimators can facilitate implementation of interactive controller for the UHP in robot-mediated rehabilitation trainings.

KW - Rehabilitation robot

KW - Estimators

KW - Impedance control

KW - Upper limb

KW - Motion

KW - Force

KW - UHP

KW - Rehabilitation robot

KW - Estimators

KW - Impedance control

KW - Upper limb

KW - Motion

KW - Force

KW - UHP

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U2 - 10.1109/ICORR.2017.8009307

DO - 10.1109/ICORR.2017.8009307

M3 - Conference contribution

C2 - 28813879

T3 - 1945-7898

SP - 561

EP - 566

BT - unknown

A2 - Ajoudani, Arash

A2 - Artemiadis, Panagiotis

A2 - Beckerle, Philipp

A2 - Grioli, Giorgio

A2 - Lambercy, Olivier

A2 - Mombaur, Katja

A2 - Novak, Domen

A2 - Rauter, Georg

A2 - Rodriguez Guerrero, Carlos

A2 - Salvietti, Gionata

A2 - Amirabdollahian, Farshid

A2 - Balasubramanian, Sivakumar

A2 - Castellini, Claudio

A2 - Di Pino, Giovanni

A2 - Guo, Zhao

A2 - Hughes, Charmayne

A2 - Iida, Fumiya

A2 - Lenzi, Tommaso

A2 - Ruffaldi, Emanuele

A2 - Sergi, Fabrizio

A2 - Soh, Gim Song

A2 - Caimmi, Marco

A2 - Cappello, Leonardo

A2 - Carloni, Raffaella

A2 - Carlson, Tom

A2 - Casadio, Maura

A2 - Coscia, Martina

A2 - De Santis, Dalia

A2 - Forner-Cordero, Arturo

A2 - Howard, Matthew

A2 - Piovesan, Davide

A2 - Siqueira, Adriano

A2 - Sup, Frank

A2 - Lorenzo, Masia

A2 - Catalano, Manuel Giuseppe

A2 - Lee, Hyunglae

A2 - Menon, Carlo

A2 - Raspopovic, Stanisa

A2 - Rastgaar, Mo

A2 - Ronsse, Renaud

A2 - van Asseldonk, Edwin

A2 - Vanderborght, Bram

A2 - Venkadesan, Madhusudhan

A2 - Bianchi, Matteo

A2 - Braun, David

A2 - Godfrey, Sasha Blue

A2 - Mastrogiovanni, Fulvio

A2 - McDaid, Andrew

A2 - Rossi, Stefano

A2 - Zenzeri, Jacopo

A2 - Formica, Domenico

A2 - Karavas, Nikolaos

A2 - Marchal-Crespo, Laura

A2 - Reed, Kyle B.

A2 - Tagliamonte, Nevio Luigi

A2 - Burdet, Etienne

A2 - Basteris, Angelo

A2 - Campolo, Domenico

A2 - Deshpande, Ashish

A2 - Dubey, Venketesh

A2 - Hussain, Asif

A2 - Sanguineti, Vittorio

A2 - Unal, Ramazan

A2 - Caurin, Glauco Augusto de Paula

A2 - Koike, Yasuharu

A2 - Mazzoleni, Stefano

A2 - Park, Hyung-Soon

A2 - Remy, C. David

A2 - Saint-Bauzel, Ludovic

A2 - Tsagarakis, Nikos

A2 - Veneman, Jan

A2 - Zhang, Wenlong

PB - IEEE Xplore

T2 - 2017 International Conference on Rehabilitation Robotics, ICORR 2017

Y2 - 17 July 2017 through 20 July 2017

ER -

Mancisidor A, Zubizarreta A, Cabanes I, Bengoa P , Jung JH. Interaction force and motion estimators facilitating impedance control of the upper limb rehabilitation robot. In Ajoudani A, Artemiadis P, Beckerle P, Grioli G, Lambercy O, Mombaur K, Novak D, Rauter G, Rodriguez Guerrero C, Salvietti G, Amirabdollahian F, Balasubramanian S, Castellini C, Di Pino G, Guo Z, Hughes C, Iida F, Lenzi T, Ruffaldi E, Sergi F, Soh GS, Caimmi M, Cappello L, Carloni R, Carlson T, Casadio M, Coscia M, De Santis D, Forner-Cordero A, Howard M, Piovesan D, Siqueira A, Sup F, Lorenzo M, Catalano MG, Lee H, Menon C, Raspopovic S, Rastgaar M, Ronsse R, van Asseldonk E, Vanderborght B, Venkadesan M, Bianchi M, Braun D, Godfrey SB, Mastrogiovanni F, McDaid A, Rossi S, Zenzeri J, Formica D, Karavas N, Marchal-Crespo L, Reed KB, Tagliamonte NL, Burdet E, Basteris A, Campolo D, Deshpande A, Dubey V, Hussain A, Sanguineti V, Unal R, Caurin GADP, Koike Y, Mazzoleni S, Park HS, Remy CD, Saint-Bauzel L, Tsagarakis N, Veneman J, Zhang W, editors, unknown. IEEE Xplore. 2017. p. 561-566. (1945-7898). doi: 10.1109/ICORR.2017.8009307

Interaction force and motion estimators facilitating impedance control of the upper limb rehabilitation robot

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