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Modeling of the Exoskeletal Human-Machine System Movement Lifting a Load

Part of the Smart Innovation, Systems and Technologies book series (SIST,volume 187)

Abstract

The mechanization and automation are introduced in various industries for loading and unloading operations. However, the manual labor continues to be widespread in a number of industries. One of the ways to improve the quality of working conditions due to the transition from extreme to comfortable conditions is using of exoskeletons. The technological operations of lifting and transfer of goods implementation by a person can be considered in two aspects: from the point of view of the workload performed by a person with this type of work, and on the other hand, the functional stress of the body as an integral response to the load. The study of the human-machine system (HMS) elements interaction allows us to identify new opportunities for providing a cooperative solution to technological problems by obtaining the exoskeleton’s links movement given accuracy. The article is devoted to the HMS motion kinematic model development, as well as the determination of the dependence of the linear gravity compensator (LGC) length change on the magnitude of the exoskeleton’s back rotation angle for various geometric dimensions that determine the position of the LGC. The determination of this dependence allows us to construct an algorithm for the HMI, including the LGC functioning. For this, the vector method of mathematical modeling is used.

Keywords

  • Human-machine system (HMS)
  • Linear gravity compensator (LGC)
  • Human-machine interface (HMI)
  • Biotechnical walking system (BTWS)

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References

  1. Spada, S. et al.: Analysis of exoskeleton introduction in industrial reality: main issues and EAWS risk assessment. In: International Conference on Applied Human Factors and Ergonomics, pp. 236–244 (2017)

    Google Scholar 

  2. Theurel, J., Desbrosses, K., Roux, T., Savescu, A.P: Physiological consequences of using an upper limb exoskeleton during manual handling tasks. Appl. Ergonom. 67, 211–217 (2018)

    Google Scholar 

  3. Strausser, K.A., Kazerooni, H.: The development and testing of a human machine interface for a mobile medical exoskeleton. In: 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, pp. 4911–4916. IEEE (2011)

    Google Scholar 

  4. Yatsun, S.F., Antipov, V.M., Karlov, A.Ye.: Modeling of lifting with the help of industrial exoskeleton. Bull. Southwestern State Univ. 22, 6(81), 14–20 (2018)

    Google Scholar 

  5. Yatsun, S.F., Antipov, V.M., Karlov, A.Y.: Lifting a load in an exoskeleton with gravitational compensation. Proc. Southwest State Univ. 23(2), 8–17 (2019)

    Google Scholar 

  6. Jatsun S.F., Al Maji K.K.M., Pavlovsky V.E.: Analysis of the effect of the exoskeleton geometrical dimensions on the nature of a linear compensator operation. In: Developments in eSystems Engineering 2019. Robotics, Sensors and Industry 4.0 (2019)

    Google Scholar 

  7. Jatsun, S., Savin, S., Lushnikov, B.б Yatsun, A.: January. System analysis of sagittal plane human motion wearing an exoskeleton using marker technology. ITM Web Conf. EDP Sci. 6, 03006 (2016)

    Google Scholar 

  8. Talaty, M., Esquenazi, A., Briceno, J. E.: Differentiating ability in users of the ReWalk TM powered exoskeleton: An analysis of walking kinematics. In: 2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR), pp. 1–5. IEEE (2013)

    Google Scholar 

  9. Esquenazi, A., et al.: The ReWalk powered exoskeleton to restore ambulatory function to individuals with thoracic-level motor-complete spinal cord injury. Am. J. Phys. Med. Rehabil. 91(11), 911–921 (2012)

    CrossRef  Google Scholar 

  10. Neuhaus, P.D. et al.: Design and evaluation of Mina: a robotic orthosis for paraplegics. In: 2011 IEEE International Conference on Rehabilitation Robotics, pp. 1–8. IEEE (2011)

    Google Scholar 

  11. Yan, T., et al.: Review of assistive strategies in powered lower-limb orthoses and exoskeletons. Robot. Autonom. Syst. 64, 120–136 (2015)

    CrossRef  Google Scholar 

  12. Gavrilov, S.V., Do, T.Z.: Computer simulation of the dynamics of movement of a five-step walking robot. Autom. Electr. Power Ind. Electr. Eng. 1, 72–76 (2016)

    Google Scholar 

  13. Sankai, Y. HAL: Hybrid assistive limb based on cybernics. Robot. Res. 25–34 (2010)

    Google Scholar 

  14. Farris, R.J., Quintero, H.A., Goldfarb, M.: Preliminary evaluation of a powered lower limb orthosis to aid walking in paraplegic individuals. IEEE Trans. Neural Syst. Rehabil. Eng. 19(6), 652–659 (2011)

    CrossRef  Google Scholar 

  15. Lushnikov, B.V., Skryl’nikov, N.Ye.: Simulation model of the process of verticalization of the exoskeleton of the lower extremities in Simmechanics, MATLAB medium taking into account dry friction in kinematic pairs. Vibration technologies, mechatronics and controlled machines, pp. 261–271 (2016)

    Google Scholar 

  16. Pavlovskiy, V.Y. et al.: Biomechatronic neurorehabilitation complex—concept, construction, models and control. In: Preprints of the Institute of Applied Mathematics named after MV Keldysh RAS 0, pp. 111–119 (2014)

    Google Scholar 

  17. Borisov, A.V.: Mechanics of the spatial model of the exoskeleton and anthropomorphic robot. In: Questions of defense technology. Series 16: Counter Terrorism Techniques 3–4, 46–55 (2018)

    Google Scholar 

  18. Plagenhoef, S., Evans, F.G., Abdelnour, T.: Anatomical data for analyzing human motion. Res. Q. Exerc. Sport 54(2), 169–178 (1983)

    CrossRef  Google Scholar 

  19. Ulrey, B.L., Fathallah, F.A.: Subject-specific, whole-body models of the stooped posture with a personal weight transfer device. J. Electromyogr. Kinesiol. 23(1), 206–215 (2013)

    CrossRef  Google Scholar 

  20. Kolesnikova, G.P., Formal’skiy, A.M. About one way of modeling a person’s gait. Eng. J. Sci. Innov. 1, 1 (2014)

    Google Scholar 

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Acknowledgements

The work of the group of authors was supported by RFBR, research project № 18-08-00773-A.

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Correspondence to Ekaterina Saveleva .

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Karlov, A., Saveleva, E., Yatsun, A., Postolny, A. (2021). Modeling of the Exoskeletal Human-Machine System Movement Lifting a Load. In: Ronzhin, A., Shishlakov, V. (eds) Proceedings of 15th International Conference on Electromechanics and Robotics "Zavalishin's Readings". Smart Innovation, Systems and Technologies, vol 187. Springer, Singapore. https://doi.org/10.1007/978-981-15-5580-0_21

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