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A Verification Method for Testing Abrasion in the Use of Restraint Type Personal Care Robots

  • Yoji YamadaEmail author
  • Mao Xuewei
  • Kengo Yoshida
  • Yasuhiro Akiyama
  • Shogo Okamoto
Conference paper
Part of the Biosystems & Biorobotics book series (BIOSYSROB, volume 16)

Abstract

Physical stress hazards are identified as a part of the safety requirements for personal care robots as described in ISO 13482. We conducted a safety verification study to clarify an inherently safe condition region in the shear stress—time relationship: The higher the shear stress is, the smaller number of times is needed for blister generation. For validating the verified safety data, we also built a testbed where a manipulator is used to optimally control the position and force of a cuff in contact with a piece of porcine skin for the purpose of reproducing the contact conditions as close as possible to those obtained when a human wears a robot.

Keywords

Porcine Skin Stratum Granulosum Stratum Spinosum Epidermal Basal Layer Safety Verification 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

This work was supported by NEDO (New Energy and Industry Organization), Japan.

References

  1. 1.
    Mao, X.W., et al.: Development of a novel test method for skin safety verification of physical assistant robots. In: Proceedings of the IEEE International Conference on Rehabilitation Robotics (ICORR’15), pp. 319–324, Singapore, Aug 2015Google Scholar
  2. 2.
    Naylor, P.F.D.: The skin surface and friction. Br. J. Dermatol. 67(7), 239–8 (1955)CrossRefGoogle Scholar
  3. 3.
    Yoshida, K. et al.: Development of a safety validation test equipment for severity estimation of wounds caused by physical assistant robot. In: Proceedings of the RSJ/SICE/JSME 20th Robotics Symposia, Karuizawa, Nagano, Japan, pp. 483–488, March 2015 (in Japanese)Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Yoji Yamada
    • 1
    Email author
  • Mao Xuewei
    • 1
  • Kengo Yoshida
    • 2
  • Yasuhiro Akiyama
    • 1
  • Shogo Okamoto
    • 1
  1. 1.Safety Intelligence Group, Department of Mechanical Science and EngineeringNagoya UniversityNagoyaJapan
  2. 2.Kansai Electric Power Co. Inc.OsakaJapan

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