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Robotic Muscular Assistance-As-Needed for Physical and Training/Rehabilitation Tasks: Design and Experimental Validation of a Closed-Loop Myoelectric Control in Grounded and Wearable Applications

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Human-Friendly Robotics 2020 (HFR 2020)

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Abstract

In this work a solution for the design of an assistive system for both muscular effort compensations and muscular effort generations for physical and rehabilitation tasks is presented. The proposed human-in-the-loop (HITL) control directly exploits the subject muscle sEMG signals measures to produce a specified and repeatable muscular response, without the need for human joint torque estimations. A set of experimental tests addressing different assistive tasks are proposed to validate the control design. Moreover different robotic devices, both grounded and wearable, are considered to assess the control under different working scenarios. The experimental results, involving four healthy subjects, show the efficacy of the proposed approach and the successful compensation/generation of the subject effort in the different assistive tasks considered.

This work was supported by the European Commission’s Horizon 2020 Framework Programme with the project REMODEL - Robotic technologies for the manipulation of complex deformable linear objects - under Grant 870133.

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Notes

  1. 1.

    Four healthy participants have been considered (males, right-handed, age: 30.5 ± 4). The experiments have been carried out in accordance with the Declaration of Helsinki. All test subjects received a detailed explanation of the experimental protocol and signed an informed consent form.

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Correspondence to Roberto Meattini .

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Meattini, R., Chiaravalli, D., Hosseini, M., Palli, G., Paik, J., Melchiorri, C. (2021). Robotic Muscular Assistance-As-Needed for Physical and Training/Rehabilitation Tasks: Design and Experimental Validation of a Closed-Loop Myoelectric Control in Grounded and Wearable Applications. In: Saveriano, M., Renaudo, E., Rodríguez-Sánchez, A., Piater, J. (eds) Human-Friendly Robotics 2020. HFR 2020. Springer Proceedings in Advanced Robotics, vol 18. Springer, Cham. https://doi.org/10.1007/978-3-030-71356-0_2

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