Abstract
Measuring the force exerted by patients in the exercise for rehabilitation after neurological injuries is important: in quantifying the patient’s motion capabilities, to ensure safety and to provide the appropriate amount of assistance, among others. Adding a force sensor for this purpose at the end-effector of a rehabilitation robot can add considerable cost. When a robotic device is dynamically transparent and mechanically backdrivable, a force estimator based on the model of the system can be used to estimate the force applied by the patient without using the explicit force sensor. This work validates the effectiveness of a model-based force estimator, derived from the literature, within the context of rehabilitation robotics, through a successful validation the strategy on the EMU upper-limb rehabilitation robot.
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Alcocer, A., Robertsson, A., Valera, A., Johansson, R.: Force estimation and control in robot manipulators. IFAC Proc. Vol. 36(17), 55–60 (2003)
Crocher, V., Fong, J., Bosch, T., Tan, Y., Mareels, I., Oetomo, D.: Upper limb deweighting using underactuated end-effector based backdrivable manipulanda. IEEE Robot. Autom. Lett. 3, 2116–2122 (2018)
Fong, J., Crocher, V., Tan, Y., Oetomo, D., Mareels, I.: EMU: a transparent 3D robotic manipulandum for upper-limb rehabilitation. In: IEEE International Conference on Rehabilitation Robotics, pp. 771–776 (2017)
Hacksel, P.J. Salcudean, S.E.: Estimation of environment forces and rigid-body velocities using observers. In: Proceedings of the 1994 IEEE International Conference on Robotics and Automation, pp. 931–936 (1994)
Marchal-Crespo, L., Reinkensmeyer, D.J.: Review of control strategies for robotic movement training after neurologic injury. J. NeuroEng. Rehabil. 6(1), 20 (2009)
Meng, W., Liu, Q., Zhou, Z., Ai, Q., Sheng, B., Xie, S.: Recent development of mechanisms and control strategies for robot-assisted lower limb rehabilitation. Mechatronics 31, 31:132–31:145 (2015)
Pehlivan, A.U., Losey, D.P., O’Malley, M.K.: Minimal assist-as-needed controller for upper limb robotic rehabilitation. IEEE Trans. Robot. 32(1), 113–124 (2016)
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Kremers, D., Fong, J., Crocher, V., Tan, Y., Oetomo, D. (2019). Sensorless Force Estimator in Rehabilitation Robotics. In: Masia, L., Micera, S., Akay, M., Pons, J. (eds) Converging Clinical and Engineering Research on Neurorehabilitation III. ICNR 2018. Biosystems & Biorobotics, vol 21. Springer, Cham. https://doi.org/10.1007/978-3-030-01845-0_36
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DOI: https://doi.org/10.1007/978-3-030-01845-0_36
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