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Easy Undressing with Soft Robotics

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Towards Autonomous Robotic Systems (TAROS 2018)

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Abstract

Dexterity impairments affect many people worldwide, limiting their ability to easily perform daily tasks and to be independent. Difficulty getting dressed and undressed is commonly reported. Some research has been performed on robot-assisted dressing, where an external device helps the user put on and take off clothes. However, no wearable robotic technology or robotic assistive clothing has yet been proposed that actively helps the user dress. In this article, we introduce the concept of Smart Adaptive Clothing, which uses Soft Robotic technology to assist the user in dressing and undressing. We discuss how Soft Robotic technologies can be applied to Smart Adaptive Clothing and present a proof of concept study of a Pneumatic Smart Adaptive Belt. The belt weighs only 68 g, can expand by up to 14% in less than 6 s, and is demonstrated aiding undressing on a mannequin, achieving an extremely low undressing time of 1.7 s.

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References

  1. Age UK: Later Life in the United Kingdom (2017)

    Google Scholar 

  2. Office for National Statistics: Family Resources Survey (2017)

    Google Scholar 

  3. Manns, S., Turton, A.: The occupational therapist, the doctor, the researcher, the roboticist, and the artist. BMJ Open, 7 (2017). https://doi.org/10.1136/bmjopen-2017-016492.23

  4. Walker, M.F.: Stroke rehabilitation: evidence-based or evidence-tinged? J. Rehabil. Med. 39, 193–197 (2007). https://doi.org/10.2340/16501977-0063

    Article  Google Scholar 

  5. Azher, N., Saeed, M., Kalsoom, S.: Adaptive clothing for females with arthritis Impairment. Institute of Education and Research, University of the Punjab, Lahore (2012)

    Google Scholar 

  6. Legg, L., Drummond, A., Leonardi-Bee, J., et al.: Occupational therapy for patients with problems in personal activities of daily living after stroke: systematic review of randomised trials. BMJ 335, 922 (2007). https://doi.org/10.1136/bmj.39343.466863.55

    Article  Google Scholar 

  7. LIFE writers: Artificial Muscle. LIFE Mag. pp. 87–88 (1960)

    Google Scholar 

  8. Agerholm, M., Lord, A.: The “Artificial Muscle” of Mckibben. Lancet 277, 660–661 (1961). https://doi.org/10.1016/S0140-6736(61)91676-2

    Article  Google Scholar 

  9. Forlizzi, J.: Robotic products to assist the aging population. Interactions 12, 16 (2005). https://doi.org/10.1145/1052438.1052454

    Article  Google Scholar 

  10. Gao, Y., Chang, H.J., Demiris, Y.: User modelling for personalised dressing assistance by humanoid robots. In: IEEE International Conference on Intelligent Robots Systems, pp. 1840–1845 (2015). https://doi.org/10.1109/iros.2015.7353617

  11. Yamazaki, K., Oya, R., Nagahama, K., et al.: Bottom dressing by a dual-arm robot using a clothing state estimation based on dynamic shape changes. Int. J. Adv. Robot. Syst. 13, 5 (2016). https://doi.org/10.5772/61930

    Article  Google Scholar 

  12. Kapusta, A., Yu, W., Bhattacharjee, T., et al: Data-driven haptic perception for robot-assisted dressing. In: IEEE International Symposium on Robot and Human, RO-MAN 2016, pp. 451–458 (2016). https://doi.org/10.1109/roman.2016.7745158

  13. Park, Y.L., Chen, B.R., Young, D., et al.: Bio-inspired active soft orthotic device for ankle foot pathologies. In: IEEE International Conference on Intelligent Robots and Systems, pp. 4488–4495 (2011). https://doi.org/10.1109/IROS.2011.6048620

  14. Park, Y.L., Chen, B.R., Majidi, C., et al.: Active modular elastomer sleeve for soft wearable assistance robots. In: IEEE Conference on Intelligent Robots and Systems, pp. 1595–1602 (2012). https://doi.org/10.1109/IROS.2012.6386158

  15. Wehner, M., Quinlivan, B., Aubin, P.M., et al.: A lightweight soft exosuit for gait assistance, pp. 3347–3354 (2013). https://doi.org/10.1109/icra.2013.6631046

  16. Park, Y.L., Santos, J., Galloway, K.G., et al.: A soft wearable robotic device for active knee motions using flat pneumatic artificial muscles. In: Proceedings of IEEE International Conference on Robotics and Automation, pp. 4805–4810 (2014). https://doi.org/10.1109/ICRA.2014.6907562

  17. Stirling, L., Yu, C.H., Miller, J., et al.: Applicability of shape memory alloy wire for an active, soft orthotic. J. Mater. Eng. Perform. 20, 658–662 (2011). https://doi.org/10.1007/s11665-011-9858-7

    Article  Google Scholar 

  18. Li, Y., Hashimoto, M.: Development of a lightweight walking assist wear using PVC gel artificial muscles. In: Proceedings of IEEE RAS EMBS International Conference on Biomedical Robotics and Biomechatronics, July 2016, pp. 686–691 (2016). https://doi.org/10.1109/biorob.2016.7523706

  19. Lee, S., Crea, S., Malcolm, P., et al.: Controlling negative and positive power at the ankle with a soft exosuit. In: Proceedings of the 2016 IEEE International Conference on Robotics and Automation (ICRA), pp 3509–3515 (2016). https://doi.org/10.1109/icra.2016.7487531

  20. Bae, J., De Rossi, S.M.M., O’Donnell, K., et al.: A soft exosuit for patients with stroke: feasibility study with a mobile off-board actuation unit. In: IEEE International Conference on Rehabilitation Robotics, pp. 131–138, September 2015. https://doi.org/10.1109/icorr.2015.7281188

  21. Galiana, I., Hammond, F.L., Howe, R.D., Popovic, M.B.: Wearable soft robotic device for post-stroke shoulder rehabilitation: identifying misalignments. In: IEEE International Conference on Intelligent Robots and Systems, pp. 317–322 (2012). https://doi.org/10.1109/IROS.2012.6385786

  22. Asbeck, A.T., Dyer, R.J., Larusson, A.F., Walsh, C.J.: Biologically-inspired soft exosuit. In: IEEE International Conference on Rehabilitation Robotics (2013). https://doi.org/10.1109/ICORR.2013.6650455

  23. Asbeck, A.T., Schmidt, K., Galiana, I., et al.: Multi-joint soft exosuit for gait assistance. In: Proceedings of IEEE International Conference on Robotics and Automation, pp. 6197–6204, June 2015. https://doi.org/10.1109/icra.2015.7140069

  24. Asbeck, A.T., Schmidt, K., Walsh, C.J.: Soft exosuit for hip assistance. Robot. Auton. Syst. 73, 102–110 (2015). https://doi.org/10.1016/j.robot.2014.09.025

    Article  Google Scholar 

  25. Yuen, M., Cherian, A., Case, J.C., et al.: Conformable actuation and sensing with robotic fabric. In: IEEE International Conference on Intelligent Robots and Systems, pp. 580–586 (2014). https://doi.org/10.1109/IROS.2014.6942618

  26. Chenal, T.P., Case, J.C., Paik, J., Kramer, R.K.: Variable stiffness fabrics with embedded shape memory materials for wearable applications. In: IEEE International Conference on Intelligent Robots and Systems, pp. 2827–2831 (2014). https://doi.org/10.1109/IROS.2014.6942950

  27. Yalcintas, M., Dai, H.: Magnetorheological and electrorheological materials in adaptive structures and their performance comparison. Smart Mater. Struct. 8, 560 (1999). https://doi.org/10.1088/0964-1726/8/5/306

    Article  Google Scholar 

  28. Shintake, J., Rosset, S., Schubert, B., et al.: Versatile Soft grippers with intrinsic electroadhesion based on multifunctional polymer actuators. Adv. Mater. 28, 231–238 (2016). https://doi.org/10.1002/adma.201504264

    Article  Google Scholar 

  29. Imamura, H., Kadooka, K., Taya, M.: A variable stiffness dielectric elastomer actuator based on electrostatic chucking. Soft Matter 13, 3440–3448 (2017). https://doi.org/10.1039/C7SM00546F

    Article  Google Scholar 

  30. Brown, E., Rodenberg, N., Amend, J., et al.: Universal robotic gripper based on the jamming of granular material. Proc. Natl. Acad. Sci. 107, 18809–18814 (2010). https://doi.org/10.1073/pnas.1003250107

    Article  Google Scholar 

  31. Taghavi, M., Helps, T., Huang, B., Rossiter, J.: 3D-printed ready-to-use variable-stiffness structures. IEEE Robot. Autom. Lett. 3, 2402–2407 (2018). https://doi.org/10.1109/LRA.2018.2812917

    Article  Google Scholar 

  32. Haines, C.S., Lima, M.D., Li, N., et al.: Artificial muscles from fishing line and sewing thread. Science 343, 868–872 (2014). https://doi.org/10.1126/science.1246906

    Article  Google Scholar 

  33. Madden, J.D.W., Vandesteeg, N.A., Anquetil, P.A., et al.: Artificial muscle technology: physical principles and naval prospects. IEEE J. Ocean. Eng. 29, 706–728 (2004). https://doi.org/10.1109/JOE.2004.833135

    Article  Google Scholar 

  34. Daerden, F., Lefeber, D., Verrelst, B., Van Ham, R.: Pleated pneumatic artificial muscles: compliant robotic actuators. In: Proceedings of 2001 IEEE/RSJ International Conference on Intelligent Robots and Systems, vol. 4, pp. 1958–1963 (2001). https://doi.org/10.1109/iros.2001.976360

  35. Niiyama, R., Rus, D., Kim, S.: Pouch motors: printable/inflatable soft actuators for robotics. In: Proceedings of 2014 IEEE International Conference on Robotics and Automation, pp. 6332–6337 (2014). https://doi.org/10.1109/icra.2014.6907793

  36. Veale, A.J., Anderson, I.A., Xie, S.Q.: The smart Peano fluidic muscle: a low profile flexible orthosis actuator that feels pain. vol. 9435, p. 94351V (2015). https://doi.org/10.1117/12.2084130

  37. Yang, D., Verma, M.S., So, J.-H., et al.: Buckling pneumatic linear actuators inspired by muscle. Adv. Mater. Technol. 1, 1600055 (2016). https://doi.org/10.1002/admt.201600055

    Article  Google Scholar 

  38. Li, S., Vogt, D.M., Rus, D., Wood, R.J.: Fluid-driven origami-inspired artificial muscles. Proc. Natl. Acad. Sci. 114, 13132–13137 (2017). https://doi.org/10.1073/pnas.1713450114

    Article  Google Scholar 

  39. Wang, J., Wang, J.: Shape memory effect of TiNi-based springs trained by constraint annealing. Met. Mater. Int. 19, 295 (2013). https://doi.org/10.1007/s12540-013-2025-y

    Article  Google Scholar 

  40. Belforte, G., Eula, G., Ivanov, A., Visan, A.L.: Bellows textile muscle. J. Text. Inst. 105, 356–364 (2014). https://doi.org/10.1080/00405000.2013.840414

    Article  Google Scholar 

  41. Helps, T., Rossiter, J.: Proprioceptive flexible fluidic actuators using conductive working fluids. Soft Robot. 5, 175–189 (2018). https://doi.org/10.1089/soro.2017.0012

    Article  Google Scholar 

  42. Hawkes, E.W., Christensen, D.L., Okamura, A.M.: Design and implementation of a 300% strain soft artificial muscle, pp. 4022–4029 (2016). https://doi.org/10.1109/icra.2016.7487592

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Acknowledgements

Research supported by UK Engineering and Physical Sciences Research Council grants EP/M020460/1 and EP/M026388/1. Local graphic facilitator Bethan Mure was responsible for illustrations during focus groups described in [3]. More of Bethan’s work can be found at www.bmurecreative.co.uk

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Helps, T., Taghavi, M., Manns, S., Turton, A.J., Rossiter, J. (2018). Easy Undressing with Soft Robotics. In: Giuliani, M., Assaf, T., Giannaccini, M. (eds) Towards Autonomous Robotic Systems. TAROS 2018. Lecture Notes in Computer Science(), vol 10965. Springer, Cham. https://doi.org/10.1007/978-3-319-96728-8_7

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  • DOI: https://doi.org/10.1007/978-3-319-96728-8_7

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