Abstract
In the kinematic design of wearable exoskeletons, the issue of axis misalignments between the human and the exoskeleton joints should be well dealt with. Otherwise, large physical human-robot interaction (p-HRI) forces may occur at the human-robot interfaces, which makes the p-HRI uncomfortable or even unsafe. To cope with this issue, a kinematically compatible design approach of wearable exoskeletons has been investigated by researchers, and great development has been made in recent years. Moreover, the influence of such a design on the exoskeleton’s p-HRI performance should be evaluated to determine if the design is feasible. In this paper, a self-adapting lower-limb exoskeleton mechanism for three degrees of freedom gait training is proposed, and the mechanical structure of the exoskeleton mechanism is designed in detail. Then, based on the presented exoskeleton mechanism and the use of suitable force/torque sensors, a p-HRI force measurement system is developed. Subsequently, the p-HRI forces of the human-robot closed chain under the static and motion modes are detected, and the influence of the self-adapting design on the lower-limb exoskeleton mechanism’s p-HRI force feature is evaluated. The results indicate that additional human-robot connective joints could reduce the p-HRI force significantly, the compatible design of the exoskeleton mechanism is effective, and is thus applied to human lower-limb gait training.
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References
Hidler, J., Wisman, W., Neckel, N.: Kinematic trajectories while walking within the Lokomat robotic gait-orthosis. Clin. Biomech. 23(10), 1251–1259 (2008)
Zanotto, D., Stegall, P., Agrawal, S. K.: ALEX III: A novel robotic platform with 12 DOFs for human gait training. In: IEEE International Conference on Robotics and Automation. Proceedings, pp. 3914–3919. IEEE, Germany (2013)
Veneman, J.F., Kruidhof, R., Hekman, E.E.G., Ekkelenkamp, R., Asseldonk, E.H.F.V., Kooij, H.V.D.: Design and evaluation of the LOPES exoskeleton robot for interactive gait rehabilitation. IEEE Trans. Neural Syst. Rehabil. Eng. 15(3), 379–386 (2007)
Prange, G.B., Jannink, M.J.A., Groothuis-Oudshoorn, C.G.M., Hermens, H.J., Ijzerman, M.J.: Systematic review of the effect of robot-aided therapy on recovery of the hemiparetic arm after stroke. J. Rehabil. Res. Dev. 43(2), 171–183 (2006)
Kwakkel, G., Kollen, B.J., Krebs, H.I.: Effects of robot-assisted therapy on upper limb recovery after stroke: a systematic review. Neurorehabil. Neural Repair. 22(2), 111–121 (2008)
Gilliaux, M., Lejeune, T., Detrembleur, C., Sapin, J., Dehez, B., Selves, C., Stoquart, G.: A robotic device as a sensitive quantitative tool to assess upper limb impairments in stroke patients: a preliminary prospective cohort study. J. Rehabil. Med. 44(3), 210–217 (2012)
Schiele, A., Helm, F.C.T.V.D.: Kinematic design to improve ergonomics in human robot interaction. IEEE Trans. Neural Syst. Rehabil. Eng. 14(4), 456–469 (2006)
Schiele, A.: Ergonomics of exoskeletons objective performance metrics. In: world haptics-third joint Eurohaptics conference and symposium on haptic interfaces for virtual environment and teleoperator systems. pp. 103-108. IEEE, Salt Lake City (2009)
Stienen, A.H.A., Hekman, E.E.G., Helm, F.C.T.V.D., Prange, G.B., Jannink, M.J.A., Aalsma, A.M.M., Kooij, H.V.D.: DAMPACE: dynamic force- coordination trainer for the upper extremities. In: IEEE 10th International Conference on Rehabilitation Robotics. Proceedings, pp. 820–826. IEEE, Noordwijk (2007)
Nef, T., Guidali, M., Riener, R.: ARMinIII-arm therapy exoskeleton with an ergonomic shoulder actuation. Appl. Bionics Biomech. 6(2), 127–142 (2009)
Celebi, B., Yalcin, M., Patoglu, V.: ASSISTON-KNEE: A self-aligning knee exoskeleton. In: IEEE/RSJ International Conference on Intelligent Robots and Systems. Proceedings, pp. 996–1002. Tokyo (2013)
Vitiello, N., Lenzi, T., Roccella, S., Rossi, S.M.M.D., Cattin, E., Giovacchini, F., Vecchi, F., Carrozza, M.C.: NEUROExos: a powered elbow exoskeleton for physical rehabilitation. IEEE T. Robot. 29(1), 220–235 (2013)
Wu, Q., Wang, X., Chen, B., Wu, H.: Development of an RBFN-based neural-fuzzy adaptive control strategy for an upper limb rehabilitation exoskeleton. Mechatronics. 53, 85–94 (2018)
Lee, Y., Kim, Y., Lee, J., Lee, M., Choi, B., Kim, J., Park, Y., Choi, J.: Biomechanical design of a novel flexible exoskeleton for lower extremities. IEEE-ASME T. Mech. 1–1 (2017)
Otten, A., Voort, C., Stienen, A., Aarts, R., Asseldonk, E., Kooij, H.: LIMPACT: a hydraulically powered self-aligning upper limb exoskeleton. IEEE-ASME T. Mech. 20(5), 1–14 (2015)
Malosio, M., Pedrocchi, N., Vicentini, F., Tosatti, L.M.: Analysis of elbow-joints misalignment in upper-limb exoskeleton. In: 2011 IEEE International Conference on Rehabilitation Robotics. Proceedings, pp. 1–6. IEEE, Zurich (2011)
Dehez, B., Sapin, J.: ShouldeRO, An alignment-free two-DOF rehabilitation robot for the shoulder complex. In: 2011 IEEE International Conference on Rehabilitation Robotics. Proceedings, pp. 141–148. IEEE, Zurich (2011)
Galinski, D., Sapin, J., Dehez, B.: Optimal design of an alignment-free two-dof rehabilitation robot for the shoulder complex. In, IEEE International Conference on Rehabilitation Robotics. Seattle (2013)
Bartenbach, V., Wyss, D., Seuret, D., Riener, R.: A lower limb exoskeleton research platform to investigate human-robot interaction. IEEE International Conference on Rehabilitation Robotics. IEEE, In (2015)
Olivier, J., Bouri, M., Ortlieb, A., Bleuler, H., Clavel, R.: Development of an assistive motorized hip orthosis: Kinematics analysis and mechanical design. In: 2013 IEEE International Conference on Rehabilitation Robotics. Proceedings, pp. 1–5. IEEE, Washington (2013)
Stienen, A.H.A., Hekman, E.E.G., Helm, F.C.T.V.D., Kooij, H.V.D.: Self-aligning exoskeleton axes through decoupling of joint rotations and translations. IEEE T. Robot. 25(3), 628–633 (2009)
Sergi, F., Accoto, D., Tagliamonte, N.L., Carpino, G., Pathiyil, L., Guglielmelli, E.: A systematic graph-based method for the kinematic synthesis of non-anthropomorphic wearable robots. In: 2010 IEEE International Conference on Robotics, Automation and Mechatronics. Proceedings, pp. 100–105. IEEE, Singapore (2010)
Jarrasse, N., Morel, G.: Connecting a human limb to an exoskeleton. IEEE T. Robot. 28(3), 697–709 (2013)
Meuleman, J., Asseldonk, E., Oort, G., Rietman, H., Kooij, H.: LOPES II: design and evaluation of an admittance controlled gait training robot with shadow-leg approach. IEEE T. Neur. Sys. Reh. 24(3), 352–363 (2015)
Mao, Y., Jin, X., Dutta, G., Scholz, J., Agrawal, S.: Human movement training with a cable driven ARm EXoskeleton (CAREX). IEEE T. Neur. Sys. Reh. 23(1), 84 (2015)
Cui, X., Chen, W., Jin, X., Agrawal, S.: Design of a 7-DOF cable-driven arm exoskeleton (CAREX-7) and a controller for dexterous motion training or assistance. IEEE-ASME T. Mech. 22(1), 1–1 (2016)
Jin, X., Cui, X., Agrawal, S.: Design of a cable-driven active leg exoskeleton (C-ALEX) and gait training experiments with human subjucts. In: 2015 IEEE International Conference on Robotics and Automation (ICRA), pp. 5578–5583. IEEE, Seattle (2015)
Li, J., Zhang, Z., Tao, C., Ji, R.: Structure design of lower limb exoskeletons for gait training. Chin. J. Mech. Eng. 28(5), 878–887 (2015)
Li, J., Zhang, Z., Tao, C., Ji, R.: A number synthesis method of the self-adapting upper-limb rehabilitation exoskeletons. Int. J. Adv. Robot. Syst. 14(3), 1–14 (2017)
Schiele, A., Visentin, G.: The ESA human arm exoskeleton for space robotics telepresence. In: 7th International Symposium on Artificial Intelligence, Robotics and Automation in Space. Proceedings. pp. 326–331. IEEE, Nara (2003)
Banala, S.K., Kim, S.H., Agrawal, S.K., Scholz, J.P.: Robot assisted gait training with active leg exoskeleton (ALEX). IEEE Trans. Neural Syst. Rehabil. Eng. 17(1), 2–8 (2009)
Walsh, C.J., Endo, K., Herr, H.: A quasi-passive leg exoskeleton for load-carrying augmentation. Int. J. Humanoid Robot. 4(3), 487–506 (2007)
Rossi, S.M.M.D., Vitiello, N., Lenzi, T., Ronsse, R., Koopman, B., Persichetti, A., Vecchi, F., Ijspeert, A.J., Kooij, H.V.D., Carrozza, M.C.: Sensing pressure distribution on a lower-limb exoskeleton physical human-machine interface. Sensors. 11, 207–227 (2011)
Rathore, A., Wilcox, M., Ramirez, D.Z.M., Loureiro, R., Carlson, T.: Quantifying the human-robot interaction forces between a lower limb exoskeleton and healthy users. In: Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society. pp. 586–589. IEEE, Orlando (2016)
Duque, J.T., Ugalde, R.C., Kilicarslan, A., Venkatakrishnan, A., Soto, R., Vidal, J.L.C.: Real-time strap pressure sensor system for powered exoskeletons. Sensors. 15, 4550–4563 (2015)
Zanotto, D., Akiyama, Y., Stegall, P., Agrawal, S.: Knee joint misalignment in exoskeletons for the lower extremities: effects on user’s gait. IEEE T. Robot. 31(4), 978–987 (2015)
Schiele, A.: An explicit model to predict and interpret constraint force creation in pHRI with exoskeletons. In: proceedings of IEEE international conference on robotics and automation. pp. 1324-1330. IEEE. Pasadena. (2008)
Schiele, A.: Ergonomics of exoskeletons: Objective performance metrics. In: Proceedings of the Third Joint Eurohaptics Conference and Symposium on Haptic Interfaces for Virtual Environment and Tele-operator Systems. pp. 103–108. Salt Lake City (2009)
Schiele, A., Helmb, F.C.T.V.D.: Influence of attachment pressure and kinematic configuration on pHRI with wearable robots. Appl. Bionics Biomech. 6(2), 157–173 (2009)
Jarrasse, N., Tagliabue, M., Robertson, J., Maiza, A., Crocher, V., Roby-Brami, A., Morel, G.: A methodology to quantify alterations in human upper limb movement during co-manipulation with an exoskeleton. IEEE Trans. Neural Syst. Rehabil. Eng. 18(4), 389–397 (2010)
Wang, H.: Anatomy of the human system. Fudan University Press, Shanghai, China (2008)
Cenciarini, M., Dollar, A.M.: Biomechanical considerations in the design of lower limb exoskeletons. In: 2011 IEEE international conference on rehabilitation robotics. IEEE. Zurich. (2011)
Cai, V.A.D., Bidaud, P., Hayward, V.: Self-adjusting, isostatic exoskeleton for the human knee joint. In: Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society. pp. 612–618. IEEE, Boston (2011)
Celebi, B., Yalcin, M., Patoglu, V.: AssistON- Knee: a self-aligning knee exoskeleton. In: IEEE/RSJ International Conference on Intelligent Robots and Systems (2013)
Radcliffe, C.W.: Four-bar linkage prosthetic knee mechanisms: kinematics, alignment and prescription criteria. Prosthetics Orthot. Int. 8(18), 159–173 (1994)
Yamaguchi, G.T., Zajac, F.E.: A planar model of the knee joint to characterize the knee extensor mechanism. J. Biomech. 22(1), 1–10 (1989)
Bapat, G., Sujatha, S.: A method for optimal synthesis of a biomimetic four-bar linkage knee joint for a knee-ankle-foot orthosis, J. Biomech. 32, 20–28 (2017)
Chen, G., Qi, P., Guo, Z., Yu, H.: Mechanical design and evaluation of a compact portable knee–ankle–foot robot for gait rehabilitation. Mech. & Mach. Theory. 103, 51–64 (2016)
Xu, L., Wang, D.H., Fu, Q., Yuan, G., Hu, L.Z.: A novel four-bar linkage prosthetic knee based on magnetorheological effect: principle, structure, simulation and control. Smart Mater. Struct. 25(11), 115007 (2016)
Acknowledgements
This work was supported by the National Natural Science Foundation of China under Grants No. 51675008 and No. 51705007, the Beijing Natural Science Foundation under Grants No. 3171001 and No. 17 L20019. Natural Science Foundation of Beijing Education Committee (No. KM201810005015) and China Postdoctoral Science Foundation (2018 T110017).
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Li, J., Zuo, S., Xu, C. et al. Influence of a Compatible Design on Physical Human-Robot Interaction Force: a Case Study of a Self-Adapting Lower-Limb Exoskeleton Mechanism. J Intell Robot Syst 98, 525–538 (2020). https://doi.org/10.1007/s10846-019-01063-5
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DOI: https://doi.org/10.1007/s10846-019-01063-5