Abstract
In the last decades, researchers have used the physical-Human–Robot-interaction (pHRI) to develop rehabilitation and assistance wearable robots. The control strategies implementation based on impedance control considers the force/torque generated between the user and the wearable robot such as the lower-limb exoskeleton. In this sense, the development of these control strategies comprises the acquisition of different user’s kinetic and kinematic parameters, a processing module, and a mechanical structure to transmit the system response. This chapter presents the control strategies development for gait rehabilitation implemented in the AGoRA lower-limb exoskeleton covered as follows: (1) Human–Robot interaction (HRI) definition; (2) sensory interface to estimate the user’s lower-limb movements; (3) actuation system; (4) impedance controller; and (5) impedance controller case study.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
M.E. Mlinac, M.C. Feng, Assessment of activities of daily living, self-care, and independence. Arch. Clin. Neuropsychol. 31(6), 506–516 (2016)
E. Peter, B. Deb, S. Sukesh, L. Shoshana, Activities of daily living (ADLs) (2021). https://www.ncbi.nlm.nih.gov/books/NBK470404/
A. Balaguer, Actividades de la vida diaria (2016)
C. Blomgren, K. Jood, C. Jern, L. Holmegaard, P. Redfors, C. Blomstrand, L. Claesson, Long-term performance of instrumental activities of daily living (IADL) in young and middle-aged stroke survivors: results from SAHLSIS outcome. Scand. J. Occup. Ther. 25(2), 119–126 (2018)
K. Han, J. Lee, W.K. Song, Application scenarios for assistive robots based on in-depth focus group interviews and clinical expert meetings, in 2013 44th International Symposium on Robotics, ISR 2013 (2013)
J.-M. Belda-Lois, S.M.-d. Horno, I. Bermejo-bosch, J.C. Moreno, J.L. Pons, D. Farina, M. Iosa, M. Molinari, F. Tamburella, A. Ramos, A. Caria, T. Solis-escalante, C. Brunner, M. Rea, Rehabilitation of gait after stroke: a top down approach. J. NeuroEng. Rehabil. 66, 66 (2011)
B. Koopman, E.H.F.V. Asseldonk, H.V.D. Kooij, Selective control of gait subtasks in robotic gait training: foot clearance support in stroke survivors with a powered exoskeleton. J. NeuroEng. Rehabil. 10, 1–21 (2013)
L.D. da Silva, T.F. Pereira, V.R. Leithardt, L.O. Seman, C.A. Zeferino, Hybrid impedance-admittance control for upper limb exoskeleton using electromyography. Appl. Sci. 10(20), 1–19 (2020)
S.C. Ouriques Martins, C. Sacks, W. Hacke, M. Brainin, F. de Assis Figueiredo, O. Marques Pontes-Neto, P.M. Lavados Germain, M.F. Marinho, A. Hoppe Wiegering, D. Vaca McGhie, S. Cruz-Flores, S.F. Ameriso, W.M. Camargo Villareal, J.C. Durán, J.E. Fogolin Passos, R. Gomes Nogueira, J.J. Freitas de Carvalho, G. Sampaio Silva, C.H. Cabral Moro, J. Oliveira-Filho, R. Gagliardi, E.D. Gomes de Sousa, F. Fagundes Soares, K. de Pinho Campos, P.F. Piza Teixeira, I.P. Gonçalves, I.R. Santos Carquin, M. Muñoz Collazos, G.E. Pérez Romero, J.I. Maldonado Figueredo, M.A. Barboza, M. Celis López, F. Góngora-Rivera, C. Cantú-Brito, N. Novarro-Escudero, M. Velázquez Blanco, C.A. Arbo Oze de Morvil, A.B. Olmedo Bareiro, G. Meza Rojas, A. Flores, J.A. Hancco-Saavedra, V. Pérez Jimenez, C. Abanto Argomedo, L. Rodriguez Kadota, R. Crosa, D.L. Mora Cuervo, A.C. de Souza, L.A. Carbonera, T.F. Álvarez Guzmán, N. Maldonado, N.L. Cabral, C. Anderson, P. Lindsay, A. Hennis, V.L. Feigin, Priorities to reduce the burden of stroke in Latin American countries. Lancet Neurol. 18(7), 674–683 (2019)
G.D. Whitiana, V. Vitriana, A. Cahyani, Level of activity daily living in post stroke patients. Althea Med. J. 4(2), 261–266 (2017)
G. Colombo, M. Joerg, R. Schreier, V. Dietz, Treadmill training of paraplegic patients using a robotic orthosis. J. Rehabil. Res. Develop. 37(6), 693–700 (2000)
J.L. Pons, Human-robot cognitive interaction, in Wearable Robots: Biomechatronic Exoskeletons, chap. 4 (Wiley, Hoboken, 2008)
A. Kilicarslan, S. Prasad, R.G. Grossman, J.L. Contreras-Vidal, High accuracy decoding of user intentions using EEG to control a lower-body exoskeleton, in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (2013), pp. 5606–5609
A. Costa, R. Salazar-Varas, E. Ianez, A. Ubeda, E. Hortal, J.M. Azorin, Studying cognitive attention mechanisms during walking from EEG signals, in Proceedings - 2015 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2015 (2016), pp. 882–886
L.I. Minchala, F. Astudillo-Salinas, K. Palacio-Baus, A. Vazquez-Rodas, Mechatronic design of a lower limb exoskeleton, in Design, Control and Applications of Mechatronic Systems in Engineering (2017)
F.L. Haufe, A.M. Kober, K. Schmidt, A. Sancho-puchades, J.E. Duarte, P. Wolf, R. Riener, User-driven walking assistance: first experimental results using the MyoSuit *, in 2019 IEEE 16th International Conference on Rehabilitation Robotics (ICORR) (2019), pp. 944–949
H. Kawamoto, S. Lee, S. Kanbe, Y. Sankai, Power assist method for HAL-3 using EMG-based feedback controller, in Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, vol. 2 (2003), pp. 1648–1653
C. Castellini, P. Van Der Smagt, Surface EMG in advanced hand prosthetics. Biol. Cybern. 100(1), 35–47 (2009)
S.K. Das, Adaptive physical human-robot interaction (PHRI) with a robotic nursing assistant. Ph.D. Thesis, University of Louisville (2019)
P.D. Labrecque, C. Gosselin, Variable admittance for pHRI: from intuitive unilateral interaction to optimal bilateral force amplification. Robot. Comput.-Integr. Manuf. 52, 1–8 (2018)
A. Bicchi, M.A. Peshkin, J.E. Colgate, Safety for physical human–robot interaction. Springer Handbook of Robotics (Springer, Berlin, 2008) pp. 1335–1348
A.Q. Keemink, H. van der Kooij, A.H. Stienen, Admittance control for physical human–robot interaction. Int. J. Robot. Res. 37(11), 1421–1444 (2018)
S. Haddadin, E. Croft, Physical human-robot interaction, in Springer Handbook of Robotics (Springer, Cham, 2016), pp. 1835–1874
I. Díaz, J.J. Gil, E. Sánchez, Lower-limb robotic rehabilitation: literature review and challenges. J. Robot. 2011(i), 1–11 (2011)
A. Martínez, B.E. Lawson, M. Goldfarb, Preliminary assessment of a lower-limb exoskeleton controller for stroke rehabilitation in overground walking, in IEEE International Conference on Rehabilitation Robotics (2017)
A.C. Villa-Parra, D. Delisle-Rodriguez, J.S. Lima, A. Frizera-Neto, T. Bastos, Knee impedance modulation to control an active orthosis using insole sensors. Sensors 17(12), 2751 (2017)
M. Sanchez-Manchola, D. Gomez-Vargas, D. Casas-Bocanegra, M. Munera, C.A. Cifuentes, Development of a Robotic lower-limb exoskeleton for gait rehabilitation: AGoRA exoskeleton, in 2018 IEEE ANDESCON Conference Proceedings (2018), pp. 1–6
M.D. Sánchez Manchola, L.J. Arciniegas Mayag, M. Múnera, C.A. Garcia, Impedance-based backdrivability recovery of a lower-limb exoskeleton for knee rehabilitation, in 4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings, (Medellin, Colombia) (2019), pp. 1–6
T. Poliero, C. Di Natali, M. Sposito, J. Ortiz, E. Graf, C. Pauli, E. Bottenberg, A. De Eyto, D.G. Caldwell, Soft wearable device for lower limb assistance: assessment of an optimized energy efficient actuation prototype, in 2018 IEEE International Conference on Soft Robotics, RoboSoft 2018 (2018), pp. 559–564
J. Schuy, A. Burkl, P. Beckerle, S. Rinderknecht, A new device to measure load and motion in lower limb prosthesis - tested on different prosthetic feet, in 2014 IEEE International Conference on Robotics and Biomimetics, IEEE ROBIO 2014 (2014), pp. 187–192
M. Molinari, M. Masciullo, F. Tamburella, N.L. Tagliamonte, I. Pisotta, J.L. Pons, Exoskeletons for over-ground gait training in spinal cord injury. Biosyst. Biorobot. 19, 253–265 (2018)
T. Bacek, M. Moltedo, K. Langlois, G.A. Prieto, M.C. Sanchez-Villamañan, J. Gonzalez-Vargas, B. Vanderborght, D. Lefeber, J.C. Moreno, BioMot exoskeleton - towards a smart wearable robot for symbiotic human-robot interaction, in IEEE International Conference on Rehabilitation Robotics (2017), pp. 1666–1671
A.J. Young, D.P. Ferris, State of the art and future directions for lower limb robotic exoskeletons. IEEE Trans. Neural Syst. Rehabil. Eng. 25(2), 171–182 (2017)
F. El Zahraa Wehbi, W. Huo, Y. Amirat, M.E. Rafei, M. Khalil, S. Mohammed, Active impedance control of a knee-joint orthosis during swing phase, in IEEE International Conference on Rehabilitation Robotics (2017), pp. 435–440
W.M. Dos Santos, A.A.G. Siqueira, Impedance control of a rotary series elastic actuator for knee rehabilitation, in The International Federation of Automatic Control (IFAC), vol. 19 (2014), pp. 4801–4806
A. Taherifar, G. Vossoughi, A.S. Ghafari, Variable admittance control of the exoskeleton for gait rehabilitation based on a novel strength metric. Robotica 36, 427–447 (2018)
V. Grosu, C. Rodriguez-Guerrero, S. Grosu, B. Vanderborght, D. Lefeber, Design of smart modular variable stiffness actuators for robotic-assistive devices. IEEE/ASME Trans. Mechatron. 22(4), 1777–1785 (2017)
L.M. Mooney, H.M. Herr, Biomechanical walking mechanisms underlying the metabolic reduction caused by an autonomous exoskeleton. J. NeuroEng. Rehabil. 13(1), 1–12 (2016)
N. Abhayasinghe, I. Murray, Human activity recognition using thigh angle derived from single thigh mounted IMU data, in 2014 International Conference on Indoor Positioning and Indoor Navigation (IPIN 2014) (2014), pp. 111–115
D. Micucci, M. Mobilio, P. Napoletano, UniMiB SHAR: a dataset for human activity recognition using acceleration data from smartphones. Appl. Sci. 7(10), 1101 (2017)
B. Barshan, M.C. Yüksek, Recognizing daily and sports activities in two open source machine learning environments using body-worn sensor units. Comput. J. 57(11), 1649–1667 (2013)
M.N. Victorino, X. Jiang, C. Menon, Wearable Technologies and Force Myography for Healthcare (Elsevier, Amsterdam, 2018)
M.D. Manchola, M.J. Bernal, M. Munera, C.A. Cifuentes, Gait phase detection for lower-limb exoskeletons using foot motion data from a single inertial measurement unit in hemiparetic individuals. Sensors 19(13), 2988 (2019)
M. Motor, Maxon flat EC motor. Maxon (2017). https://www.maxongroup.com/medias/sys_master/root/8831018893342/2018EN-270.pdf
J.F. Veneman, R. Kruidhof, E.E.G. Hekman, R. Ekkelenkamp, E.H.F.V. Asseldonk, H. van der Kooij, Design and evaluation of the LOPES exoskeleton robot for interactive gait rehabilitation. IEEE Trans. Neural Syst. Rehabil. Eng. 15(3), 379–386 (2007)
A. Ortlieb, M. Bouri, R. Baud, H. Bleuler, An assistive lower limb exoskeleton for people with neurological gait disorders, in 2017 International Conference on Rehabilitation Robotics (ICORR) (2017), pp. 441–446
S.O. Schrade, K. Dätwyler, M. Stücheli, K. Studer, D.A. Türk, M. Meboldt, R. Gassert, O. Lambercy, Development of VariLeg, an exoskeleton with variable stiffness actuation: first results and user evaluation from the CYBATHLON 2016 Olivier Lambercy; Roger Gassert. J. NeuroEng. Rehabil. 15(1), 1–18 (2018)
N. Hogan, Impedance control: an approach to manipulation, in 1984 American Control Conference (1984), pp. 304–313
E.S. Barjuei, S. Toxiri, G.A. Medrano-Cerda, D.G. Caldwell, J. Ortiz, Bond graph modeling of an exoskeleton actuator, in 2018 10th Computer Science and Electronic Engineering Conference, CEEC 2018 - Proceedings (2019), pp. 101–106
F.R.O. Andres, A. Lopez-Delis, A.F. da Rocha, Upper and Lower Extremity Exoskeletons (Elsevier, Amsterdam, 2018)
Z. Li, Z. Yin, Position tracking control of mass spring damper system with time-varying coefficients, in Proceedings of the 29th Chinese Control and Decision Conference, CCDC 2017 (2017), pp. 4994–4998
A.A. Nikooyan, A.A. Zadpoor, Mass-spring-damper modelling of the human body to study running and hopping-an overview. Proc. Inst. Mech. Eng H J. Eng. Med. 225(12), 1121–1135 (2011)
C. Bayón, O. Ramírez, F. Mollà, J. Serrano, M. Del Castillo, J. Belda-Lois, R. Poveda, R. Raya, T. Martín Lorenzo, I. Martínez Caballero, S. Lerma Lara, C. Cifuentes, A. Frizera, E. Rocon, CPWalker, robotic platform for gait rehabilitation and training in patients with cerebral palsy, in 2016 IEEE International Conference on Robotics and Automation (ICRA) (2015), pp. 3736–3741
A.C. Villa-Parra, D. Delisle-Rodriguez, T. Botelho, J.J.V. Mayor, A.L. Delis, R. Carelli, A. Frizera Neto, T.F. Bastos, Control of a robotic knee exoskeleton for assistance and rehabilitation based on motion intention from sEMG. Res. Biomed. Eng. 34(3), 198–210 (2018)
M.D. Sánchez Manchola, L.J. Arciniegas Mayag, M. Munera, C.A. Garcia, Impedance-based backdrivability recovery of a lower-limb exoskeleton for knee rehabilitation, in 4th IEEE Colombian Conference on Automatic Control: Automatic Control as Key Support of Industrial Productivity, CCAC 2019 - Proceedings (2019), pp. 1–6
J.B. Webster, B.J. Darter, Principles of normal and pathologic gait, in Atlas of Orthoses and Assistive Devices, chap. 4, 5th edn. (Elsevier, Amsterdam, 2019), pp. 49–62.e1
T. Roskilly, R. Mikalsen, Closed-loop stability, in Marine Systems Identification, Modeling and Control (Elsevier, Amsterdam, 2015), pp. 97–122
K. Wen, D. Necsulescu, J. Sasiadek, Haptic force control based on impedance/admittance control. IFAC Proc. Vol. 38(1), 427–432 (2005)
A. Fortin-Coté, P. Cardou, C. Gosselin, An admittance control scheme for haptic interfaces based on cable-driven parallel mechanisms, in Proceedings - IEEE International Conference on Robotics and Automation (2014), pp. 819–825
M. Bortole, A. Del Ama, E. Rocon, J.C. Moreno, F. Brunetti, J.L. Pons, A robotic exoskeleton for overground gait rehabilitation, in Proceedings - IEEE International Conference on Robotics and Automation (2013), pp. 3356–3361
S.K. Banala, S.H. Kim, S.K. Agrawal, J.P. Scholz, Robot assisted gait training with active leg exoskeleton (ALEX), in Proceedings of the 2nd Biennial IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, BioRob 2008, vol. 17 (2008), pp. 653–658
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this chapter
Cite this chapter
Arciniegas-Mayag, L., Rodriguez-Guerrero, C., Rocon, E., Múnera, M., Cifuentes, C.A. (2022). Impedance Control Strategies for Lower-Limb Exoskeletons. In: Interfacing Humans and Robots for Gait Assistance and Rehabilitation. Springer, Cham. https://doi.org/10.1007/978-3-030-79630-3_8
Download citation
DOI: https://doi.org/10.1007/978-3-030-79630-3_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-79629-7
Online ISBN: 978-3-030-79630-3
eBook Packages: EngineeringEngineering (R0)