A method to study precision grip control in viscoelastic force fields using a robotic gripper.
Identifieur interne : 003138 ( Ncbi/Checkpoint ); précédent : 003137; suivant : 003139A method to study precision grip control in viscoelastic force fields using a robotic gripper.
Auteurs : Olivier Lambercy ; Jean-Claude Metzger ; Marco Santello ; Roger GassertSource :
- IEEE transactions on bio-medical engineering [ 1558-2531 ] ; 2015.
English descriptors
- KwdEn :
- Adult, Elastic Modulus (physiology), Equipment Design, Equipment Failure Analysis, Feedback, Physiological (physiology), Female, Hand Strength (physiology), Humans, Male, Man-Machine Systems, Manometry (instrumentation), Physical Examination (instrumentation), Physical Stimulation (instrumentation), Reproducibility of Results, Robotics (instrumentation), Robotics (methods), Sensitivity and Specificity, Stress, Mechanical, Task Performance and Analysis, Viscosity.
- MESH :
- instrumentation : Manometry, Physical Examination, Physical Stimulation, Robotics.
- methods : Robotics.
- physiology : Elastic Modulus, Feedback, Physiological, Hand Strength.
- Adult, Equipment Design, Equipment Failure Analysis, Female, Humans, Male, Man-Machine Systems, Reproducibility of Results, Sensitivity and Specificity, Stress, Mechanical, Task Performance and Analysis, Viscosity.
Abstract
Instrumented objects and multipurpose haptic displays have commonly been used to investigate sensorimotor control of grasping and manipulation. A major limitation of these devices, however, is the extent to which the experimenter can vary the interaction dynamics to fully probe sensorimotor control mechanisms. We propose a novel method to study precision grip control using a grounded robotic gripper with two moving, mechanically coupled finger pads instrumented with force sensors. The device is capable of stably rendering virtual mechanical properties with a wide dynamic range of achievable impedances. Eight viscoelastic force fields with different combinations of stiffness and damping parameters were implemented, and tested on eight healthy subjects performing 30 consecutive repetitions of a grasp, hold, and release task with time and position constraints. Rates of thumb and finger force were found to be highly correlated (r>0.9) during grasping, revealing that, despite the mechanical coupling of the two finger pads, subjects performed grasping movements in a physiological fashion. Subjects quickly adapted to the virtual dynamics (within seven trials), but, depending on the presented force field condition, used different control strategies to correctly perform the task. The proof of principle presented in this paper underscores the potential of such a one-degree-of-freedom robotic gripper to study neural control of grasping, and to provide novel insights on sensorimotor control mechanisms.
DOI: 10.1109/TBME.2014.2336095
PubMed: 25014953
Affiliations:
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pubmed:25014953Le document en format XML
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<author><name sortKey="Santello, Marco" sort="Santello, Marco" uniqKey="Santello M" first="Marco" last="Santello">Marco Santello</name>
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<front><div type="abstract" xml:lang="en">Instrumented objects and multipurpose haptic displays have commonly been used to investigate sensorimotor control of grasping and manipulation. A major limitation of these devices, however, is the extent to which the experimenter can vary the interaction dynamics to fully probe sensorimotor control mechanisms. We propose a novel method to study precision grip control using a grounded robotic gripper with two moving, mechanically coupled finger pads instrumented with force sensors. The device is capable of stably rendering virtual mechanical properties with a wide dynamic range of achievable impedances. Eight viscoelastic force fields with different combinations of stiffness and damping parameters were implemented, and tested on eight healthy subjects performing 30 consecutive repetitions of a grasp, hold, and release task with time and position constraints. Rates of thumb and finger force were found to be highly correlated (r>0.9) during grasping, revealing that, despite the mechanical coupling of the two finger pads, subjects performed grasping movements in a physiological fashion. Subjects quickly adapted to the virtual dynamics (within seven trials), but, depending on the presented force field condition, used different control strategies to correctly perform the task. The proof of principle presented in this paper underscores the potential of such a one-degree-of-freedom robotic gripper to study neural control of grasping, and to provide novel insights on sensorimotor control mechanisms.</div>
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<name sortKey="Metzger, Jean Claude" sort="Metzger, Jean Claude" uniqKey="Metzger J" first="Jean-Claude" last="Metzger">Jean-Claude Metzger</name>
<name sortKey="Santello, Marco" sort="Santello, Marco" uniqKey="Santello M" first="Marco" last="Santello">Marco Santello</name>
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