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A Wearable Spinal Support Device for Ergonomics

Overview



This project proposes an active, soft robotic Wearable Spinal Support Device (WSSD) to increase harvest efficiency in California strawberry production. The device reduces loading on the spine and back muscles while performing tasks that require frequent and prolonged bending. The sensor and actuator are optimized to apply appropriate supportive force during spinal flexion. This device demonstrates the potential for soft-robotic systems to provide ergonomic assistance to the human body



Additional Resources


  • Asbeck, A. T., Dyer, R. J., Larusson, A. F., & Walsh, C. J. (2013). Biologically-inspired soft exosuit.2013 IEEE 13th International Conference on Rehabilitation Robotics (ICORR), 1-8.
  • Asbeck, A. T., De Rossi, S. M. M., Galiana, I., Ding, Y., & Walsh, C. J. (2014). Stronger, smarter, softer: next-generation wearable robots. IEEE Robotics & Automation Magazine, 21(4), 22-33.
  • Khosro-Anjom, F., Rehal, R., Fathallah, F., Wilken, K., & Vougioukas, S. (2014). Sensor-based stooped work monitoring in robotaided strawberry harvesting. American Society of Agricultural and Biological Engineers.
  • Leva, P. D. (1996). Adjustments to Zatsiorsky-Seluyanovs segment inertia parameters. Journal of Biomechanics, 29(9), 1223-1230.
  • Li, S., Vogt, D., Rus, D., & Wood, R. (2017). Fluid-driven origami-inspired artificial muscles. Proceedings of the National Academy of Sciences, 114(50), 13132-13137.
  • Murray, B. C. M., An, X., Robinson, S. S., van Meerbeek, I. M., O’Brien, K. W., Zhao, H., & Shepherd, R. F. (2015). Poroelastic foams for simple fabrication of complex soft robots. Advanced Materials, 27(41), 6334-6340.
  • Park, Y. L., Chen, B. R, Pérez-Arancibia, N. O., Young, D., Stirling, L., Wood, R. J., Goldfield, E. C., & Nagpal, R. (2014). Design and control of a bio-inspired soft wearable robotic device for ankle-foot rehabilitation. Bioinspiration & Biomimetics, 9(1).
  • Robertson, M., & Paik, J. (2017). New soft robots really suck: vacuum-powered systems empower diverse capabilities. Science Robotics, 2(9).
  • Simon, T. M, Thomas, B. H., & Smith, R. T. (2015). Low-profile jamming technology for medical rehabilitation. IT Professional, 17(5) 28-34.
  • Sridar, S., Nguyen, P. H., Zhu, M., Lam, Q. P., & Polygerinos, P. (2017). Development of a soft-inflatable exosuit for knee rehabilitation. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 3722-3727.
  • Wilkins, B. (2017). MPU-9250_Breakout. Github Repository. Retrieved from https://github.com/sparkfun/MPU-9250_Breakout

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Meet the Researchers

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Tara Hinds
Jamie Luong
James Lynch
Chih-Yen Lin

UC San Diego Graduate Program

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