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Sensing Soft Robot Shape Using IMUs: An Experimental Investigation

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Experimental Robotics (ISER 2020)

Part of the book series: Springer Proceedings in Advanced Robotics ((SPAR,volume 19))

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Abstract

Shape estimation of soft robotic systems is challenging due to the range of deformations that can be achieved, and the limited availability of physically compatible sensors. We propose a method of reconstruction using Inertial Measurement Units (IMUs), which are mounted on segments of a deformable manipulator. This approach utilizes the piecewise constant curvature model in combination with the quaternion data from IMUs to allow for accuracy reconstruction and closed-loop control. A key strength of this approach is that it is hardware agnostic, and could be used on any soft structure to provide pose reconstruction and controllability. We explore this approach experimentally on a growing, extendable 3D printed continuum body structure, demonstrating that high accuracy reconstruction that can be achieved.

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References

  1. Bern, J.M., Banzet, P., Poranne, R., Coros, S.: Trajectory optimization for cable-driven soft robot locomotion. In: Robotics: Science and Systems (2019)

    Google Scholar 

  2. Bruder, D., Gillespie, B., Remy, C.D., Vasudevan, R.: Modeling and control of soft robots using the koopman operator and model predictive control. arXiv preprint arXiv:1902.02827 (2019)

  3. Della Santina, C., Bicchi, A., Rus, D.: On an improved state parametrization for soft robots with piecewise constant curvature and its use in model based control. IEEE Rob. Autom. Lett. 5(2), 1001–1008 (2020)

    Article  Google Scholar 

  4. Della Santina, C., Catalano, M.G., Bicchi, A.: Soft Robots, pp. 1–14. Springer Berlin Heidelberg, Berlin, Heidelberg (2020). https://doi.org/10.1007/978-3-642-41610-1_146-1

  5. Della Santina, C., Katzschmann, R.K., Bicchi, A., Rus, D.: Model-based dynamic feedback control of a planar soft robot: trajectory tracking and interaction with the environment. The International Journal of Robotics Research, p. 0278364919897292 (2019)

    Google Scholar 

  6. Hughes, J., Culha, U., Giardina, F., Guenther, F., Rosendo, A., Iida, F.: Soft manipulators and grippers: a review. Front. Rob. AI 3, 69 (2016)

    Google Scholar 

  7. Hughes, J., Della Santina, C., Rus, D.: Extensible high force manipulator for complex exploration. In: 2020 3rd IEEE International Conference on Soft Robotics (RoboSoft), pp. 733–739. IEEE (2020)

    Google Scholar 

  8. Hughes, J., Iida, F.: Tactile sensing applied to the universal gripper using conductive thermoplastic elastomer. Soft Rob. 5(5), 512–526 (2018)

    Article  Google Scholar 

  9. Katzschmann, R.K., Della Santina, C., Toshimitsu, Y., Bicchi, A., Rus, D.: Dynamic motion control of multi-segment soft robots using piecewise constant curvature matched with an augmented rigid body model. In: 2019 2nd IEEE International Conference on Soft Robotics (RoboSoft), pp. 454–461. IEEE (2019)

    Google Scholar 

  10. Mahony, R., Hamel, T., Pflimlin, J.M.: Nonlinear complementary filters on the special orthogonal group. IEEE Trans. Autom. Control 53(5), 1203–1218 (2008)

    Article  MathSciNet  Google Scholar 

  11. Mahony, R., Kumar, V., Corke, P.: Multirotor aerial vehicles: modeling, estimation, and control of quadrotor. IEEE Rob. Autom. Mag. 19(3), 20–32 (2012)

    Article  Google Scholar 

  12. Rus, D., Tolley, M.T.: Design, fabrication and control of soft robots. Nature 521(7553), 467–475 (2015)

    Article  Google Scholar 

  13. Santaera, G., Luberto, E., Serio, A., Gabiccini, M., Bicchi, A.: Low-cost, fast and accurate reconstruction of robotic and human postures via imu measurements. In: 2015 IEEE International Conference on Robotics and Automation (ICRA), pp. 2728–2735. IEEE (2015)

    Google Scholar 

  14. Scimeca, L., Hughes, J., Maiolino, P., Iida, F.: Model-free soft-structure reconstruction for proprioception using tactile arrays. IEEE Rob. Autom. Lett. 4(3), 2479–2484 (2019)

    Article  Google Scholar 

  15. Thuruthel, T.G., Shih, B., Laschi, C., Tolley, M.T.: Soft robot perception using embedded soft sensors and recurrent neural networks. Science Robotics, vol. 4, no. 26 (2019)

    Google Scholar 

  16. Truby, R.L., Della Santina, C., Rus, D.: Distributed proprioception of 3D configuration in soft, sensorized robots via deep learning. IEEE Rob. Autom. Lett. 5(2), 3299–3306 (2020)

    Article  Google Scholar 

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Acknowledgments

We would like to acknowledge grant NSF EFRI (1830901) which made this work possible.

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Correspondence to Josie Hughes .

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Hughes, J., Stella, F., Santina, C.D., Rus, D. (2021). Sensing Soft Robot Shape Using IMUs: An Experimental Investigation. In: Siciliano, B., Laschi, C., Khatib, O. (eds) Experimental Robotics. ISER 2020. Springer Proceedings in Advanced Robotics, vol 19. Springer, Cham. https://doi.org/10.1007/978-3-030-71151-1_48

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