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3D Printed Proprioceptive Soft Fluidic Actuators with Graded Porosity (2302.13141v2)

Published 25 Feb 2023 in cs.RO

Abstract: Integration of both actuation and proprioception into the robot body would provide actuation and sensing in a single integrated system. Within this work, a manufacturing approach for such actuators is investigated that relies on 3D printing for fabricating soft-graded porous actuators with piezoresistive sensing and identified models for strain estimation. By 3D printing, a graded porous structure consisting of a conductive thermoplastic elastomer both mechanical programming for actuation and piezoresistive sensing were realized. Whereas identified Wiener-Hammerstein (WH) models estimate the strain by compensating the nonlinear hysteresis of the sensorized actuator. Three actuator types were investigated, namely: a bending actuator, a contractor, and a three DoF bending segment (3DoF). The porosity of the contractors was shown to enable the tailoring of both the stroke and resistance change. Furthermore, the WH models could provide strain estimation with on average high fits (83%) and low RMS errors (6%) for all three actuators, which outperformed linear models significantly (76.2/9.4% fit/RMS error). These results indicate that an integrated manufacturing approach with both 3D printed graded porous structures and system identification can realize sensorized actuators that can be tailored through porosity for both actuation and sensing behavior but also compensate for the nonlinear hysteresis.

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References (40)
  1. D. Trivedi, C. D. Rahn, W. M. Kier, and I. D. Walker, “Soft robotics: Biological inspiration, state of the art, and future research,” Applied bionics and biomechanics, vol. 5, no. 3, pp. 99–117, 2008.
  2. C. Laschi, M. Cianchetti, B. Mazzolai, L. Margheri, M. Follador, and P. Dario, “Soft robot arm inspired by the octopus,” Advanced robotics, vol. 26, no. 7, pp. 709–727, 2012.
  3. Y. Kumaresan, O. Ozioko, and R. Dahiya, “Multifunctional electronic skin with a stack of temperature and pressure sensor arrays,” IEEE Sensors Journal, vol. 21, no. 23, pp. 26 243–26 251, 2021.
  4. S. Li, D. M. Vogt, D. Rus, and R. J. Wood, “Fluid-driven origami-inspired artificial muscles,” Proceedingss of the National academy of Sciences, vol. 114, no. 50, pp. 13 132–13 137, 2017.
  5. F. Connolly, P. Polygerinos, C. J. Walsh, and K. Bertoldi, “Mechanical programming of soft actuators by varying fiber angle,” Soft Robotics, vol. 2, no. 1, pp. 26–32, 2015.
  6. B. Mosadegh, P. Polygerinos, C. Keplinger, S. Wennstedt, R. F. Shepherd, U. Gupta, J. Shim, K. Bertoldi, C. J. Walsh, and G. M. Whitesides, “Pneumatic networks for soft robotics that actuate rapidly,” Advanced Functional Materials, vol. 24, no. 15, pp. 2163–2170, 2014.
  7. H.-T. Lin, G. G. Leisk, and B. Trimmer, “Goqbot: a caterpillar-inspired soft-bodied rolling robot,” Bioinspiration & biomimetics, vol. 6, no. 2, p. 026007, 2011.
  8. C. Branyan, A. Rafsanjani, K. Bertoldi, R. L. Hatton, and Y. Mengüç, “Curvilinear kirigami skins let soft bending actuators slither faster,” Frontiers in Robotics and AI, vol. 9, p. 872007, 2022.
  9. M. Cianchetti, M. Calisti, L. Margheri, M. Kuba, and C. Laschi, “Bioinspired locomotion and grasping in water: the soft eight-arm octopus robot,” Bioinspiration & biomimetics, vol. 10, no. 3, p. 035003, 2015.
  10. A. Sadeghi, A. Tonazzini, L. Popova, and B. Mazzolai, “A novel growing device inspired by plant root soil penetration behaviors,” PloS one, vol. 9, no. 2, p. e90139, 2014.
  11. D. R. Higueras-Ruiz, K. Nishikawa, H. Feigenbaum, and M. Shafer, “What is an artificial muscle? a comparison of soft actuators to biological muscles,” Bioinspiration & biomimetics, vol. 17, no. 1, p. 011001, 2021.
  12. W. Felt, K. Y. Chin, and C. D. Remy, “Contraction sensing with smart braid mckibben muscles,” IEEE/ASME Transactions on Mechatronics, vol. 21, no. 3, pp. 1201–1209, 2015.
  13. E. Acome, S. K. Mitchell, T. Morrissey, M. Emmett, C. Benjamin, M. King, M. Radakovitz, and C. Keplinger, “Hydraulically amplified self-healing electrostatic actuators with muscle-like performance,” Science, vol. 359, no. 6371, pp. 61–65, 2018.
  14. J. Sun and J. Zhao, “Integrated actuation and self-sensing for twisted-and-coiled actuators with applications to innervated soft robots,” in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).   IEEE, 2020, pp. 8795–8800.
  15. K. Kure, T. Kanda, K. Suzumori, and S. Wakimoto, “Flexible displacement sensor using injected conductive paste,” Sensors and Actuators A: Physical, vol. 143, no. 2, pp. 272–278, 2008.
  16. J. Zhou, Y. Chen, X. Chen, Z. Wang, Y. Li, and Y. Liu, “A proprioceptive bellows (pb) actuator with position feedback and force estimation,” IEEE Robotics and Automation Letters, vol. 5, no. 2, pp. 1867–1874, 2020.
  17. N. Willemstein, H. van der Kooij, and A. Sadeghi, “3d printing of soft fluidic actuators with graded porosity,” Soft matter, vol. 18, no. 38, pp. 7269–7279, 2022.
  18. M. A. Robertson and J. Paik, “New soft robots really suck: Vacuum-powered systems empower diverse capabilities,” Science Robotics, vol. 2, no. 9, p. eaan6357, 2017.
  19. S. P. Murali Babu, F. Visentin, A. Sadeghi, A. Mondini, F. Meder, and B. Mazzolai, “Sensorized foam actuator with intrinsic proprioception and tunable stiffness behavior for soft robots,” Advanced Intelligent Systems, vol. 3, no. 6, p. 2100022, 2021.
  20. B. C. Mac Murray, X. An, S. S. Robinson, I. M. van Meerbeek, K. W. O’Brien, H. Zhao, and R. F. Shepherd, “Poroelastic foams for simple fabrication of complex soft robots,” Advanced Materials, vol. 27, no. 41, pp. 6334–6340, 2015.
  21. I. Van Meerbeek, C. De Sa, and R. Shepherd, “Soft optoelectronic sensory foams with proprioception,” Science Robotics, vol. 3, no. 24, p. eaau2489, 2018.
  22. S. Bilent, T. H. N. Dinh, E. Martincic, and P.-Y. Joubert, “Influence of the porosity of polymer foams on the performances of capacitive flexible pressure sensors,” Sensors, vol. 19, no. 9, p. 1968, 2019.
  23. M. Pruvost, W. J. Smit, C. Monteux, P. Poulin, and A. Colin, “Polymeric foams for flexible and highly sensitive low-pressure capacitive sensors,” npj Flexible Electronics, vol. 3, no. 1, pp. 1–6, 2019.
  24. S. Nakamaru, R. Nakayama, R. Niiyama, and Y. Kakehi, “Foamsense: Design of three dimensional soft sensors with porous materials,” in Proceedings of the 30th Annual ACM Symposium on User Interface Software and Technology, 2017, pp. 437–447.
  25. J. Cheng, M. Sundholm, B. Zhou, M. Hirsch, and P. Lukowicz, “Smart-surface: Large scale textile pressure sensors arrays for activity recognition,” Pervasive Mobile Computing, vol. 30, pp. 97–112, 2016.
  26. S. Joe, H. Wang, M. Totaro, and L. Beccai, “Sensing deformation in vacuum driven foam-based actuator via inductive method,” Frontiers in Robotics and AI, vol. 8, p. 742885, 2021.
  27. L. Somm, D. Hahn, N. Kumar, and S. Coros, “Expanding foam as the material for fabrication, prototyping and experimental assessment of low-cost soft robots with embedded sensing,” IEEE Robotics and Automation Letters, vol. 4, no. 2, pp. 761–768, 2019.
  28. R. Matsuda, S. Mizuguchi, F. Nakamura, T. Endo, Y. Isoda, G. Inamori, and H. Ota, “Highly stretchable sensing array for independent detection of pressure and strain exploiting structural and resistive control,” Scientific Reports, vol. 10, no. 1, p. 12666, 2020.
  29. M. R. Carneiro and M. Tavakoli, “Wearable pressure mapping through piezoresistive c-pu foam and tailor-made stretchable e-textile,” IEEE Sensors Journal, vol. 21, no. 24, pp. 27 374–27 384, 2021.
  30. O. D. Yirmibesoglu, L. E. Simonsen, R. Manson, J. Davidson, K. Healy, Y. Menguc, and T. Wallin, “Multi-material direct ink writing of photocurable elastomeric foams,” Communications Materials, vol. 2, no. 1, p. 82, 2021.
  31. N. M. Ribe, M. Habibi, and D. Bonn, “Liquid rope coiling,” Annual review of fluid mechanics, vol. 44, pp. 249–266, 2012.
  32. J. I. Lipton and H. Lipson, “3d printing variable stiffness foams using viscous thread instability,” Scientific Reports, vol. 6, no. 1, pp. 1–6, 2016.
  33. L. Paredes-Madrid, C. A. Palacio, A. Matute, and C. A. Parra Vargas, “Underlying physics of conductive polymer composites and force sensing resistors (fsrs) under static loading conditions,” Sensors, vol. 17, no. 9, p. 2108, 2017.
  34. M. Kalantari, J. Dargahi, J. Kövecses, M. G. Mardasi, and S. Nouri, “A new approach for modeling piezoresistive force sensors based on semiconductive polymer composites,” IEEE/ASME Transactions on Mechatronics, vol. 17, no. 3, pp. 572–581, 2011.
  35. V. Goga, “New phenomenological model for solid foams,” in Computational modelling and advanced simulations.   Springer, 2011, pp. 67–82.
  36. M. Y. Saadeh and M. B. Trabia, “Identification of a force-sensing resistor for tactile applications,” Journal of Intelligent Material Systems and Structures, vol. 24, no. 7, pp. 813–827, 2013.
  37. Q. Liu and G. Subhash, “A phenomenological constitutive model for foams under large deformations,” Polymer Engineering & Science, vol. 44, no. 3, pp. 463–473, 2004.
  38. W. Felt, M. A. Robertson, and J. Paik, “Modeling vacuum bellows soft pneumatic actuators with optimal mechanical performance,” in 2018 IEEE International Conference on Soft Robotics (RoboSoft).   IEEE, 2018, pp. 534–540.
  39. I. Gibson and M. F. Ashby, “The mechanics of three-dimensional cellular materials,” Proceedings of the royal society of London. A. Mathematical and physical sciences, vol. 382, no. 1782, pp. 43–59, 1982.
  40. T. F. Allen, L. Rupert, T. R. Duggan, G. Hein, and K. Albert, “Closed-form non-singular constant-curvature continuum manipulator kinematics,” in 2020 3rd IEEE International Conference on Soft Robotics (RoboSoft).   IEEE, 2020, pp. 410–416.
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