Literature DB >> 18334396

User-modulated impedance control of a prosthetic elbow in unconstrained, perturbed motion.

Jonathan W Sensinger1, Richard F ff Weir.   

Abstract

Humans use the agonist-antagonist structure of their muscles to simultaneously determine both the motion and the stiffness of their joints. Designing this feature into an artificial limb may prove advantageous. To evaluate the performance of an artificial limb capable of modulating its impedance, we have created a compact series elastic actuator that has the same size and similar weight as commercially available electric prosthetic elbows. The inherent compliance in series elastic actuators ensure their safety to the user, even at high speeds, while creating a high-fidelity force actuator ideally suited for impedance control. This paper describes three serial studies that build on each other. The first study presents modeling of the actuator to ensure stability in the range of impedance modulation and empirically tests the actuator to validate its ability to modulate impedance. The actuator is found to be stable and accurate over a wide range of impedances. In the second study, four subjects are tested in a preliminary experiment to answer basic questions necessary to implement user-modulated impedance control. Findings include the superiority of velocity control over position control as the underlying motion paradigm and the preference for high stiffness and non-negative inertia. Based on the findings of the second study, the third study evaluates the performance of 15 able-bodied subjects for two tasks, using five different impedance paradigms. Impedance modulation, speed, and error were compared across paradigms. The results indicate that subjects do not actively modulate impedance if it is near a preferred baseline. Fixed impedance and viscosity modulation provide the most accurate control.

Entities:  

Mesh:

Year:  2008        PMID: 18334396     DOI: 10.1109/TBME.2007.905385

Source DB:  PubMed          Journal:  IEEE Trans Biomed Eng        ISSN: 0018-9294            Impact factor:   4.538


  5 in total

1.  Does EMG control lead to distinct motor adaptation?

Authors:  Reva E Johnson; Konrad P Kording; Levi J Hargrove; Jonathon W Sensinger
Journal:  Front Neurosci       Date:  2014-09-30       Impact factor: 4.677

2.  Adaptation to random and systematic errors: Comparison of amputee and non-amputee control interfaces with varying levels of process noise.

Authors:  Reva E Johnson; Konrad P Kording; Levi J Hargrove; Jonathon W Sensinger
Journal:  PLoS One       Date:  2017-03-16       Impact factor: 3.240

3.  Design of a High-Speed Prosthetic Finger Driven by Peano-HASEL Actuators.

Authors:  Zachary Yoder; Nicholas Kellaris; Christina Chase-Markopoulou; Devon Ricken; Shane K Mitchell; Madison B Emmett; Richard F Ff Weir; Jacob Segil; Christoph Keplinger
Journal:  Front Robot AI       Date:  2020-11-27

4.  A Configurable Architecture for Two Degree-of-Freedom Variable Stiffness Actuators to Match the Compliant Behavior of Human Joints.

Authors:  Simon Lemerle; Manuel G Catalano; Antonio Bicchi; Giorgio Grioli
Journal:  Front Robot AI       Date:  2021-03-12

5.  Morphological Computation of Haptic Perception of a Controllable Stiffness Probe.

Authors:  Nantachai Sornkarn; Prokar Dasgupta; Thrishantha Nanayakkara
Journal:  PLoS One       Date:  2016-06-03       Impact factor: 3.240

  5 in total

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