2015
DOI: 10.1109/tmech.2014.2340697
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A Subject-Adaptive Controller for Wrist Robotic Rehabilitation

Abstract: In order to derive maximum benefit from robotassisted rehabilitation, it is critical that the implemented control algorithms promote the participant's active engagement in therapy. Assist-as-needed (AAN) controllers address this need by providing only appropriate assistance during movement execution. Often, these controllers depend on the definition of an optimal movement profile, against which the participant's movements are compared. In this paper, we present a novel subject-adaptive controller, consisting o… Show more

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Cited by 84 publications
(62 citation statements)
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References 32 publications
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“…Thereby the shank's position will not be consistent during the operation, and the orientation of the robotic platform is thus unlikely to be the same as the actual rotation of ankle joint. Meanwhile, a majority of existing devices utilise rigid actuators such as electric motors or cylinders which are not back-driveable [7]. As a result of this, the human interaction environment is not fully compliant during operation of the devices.…”
Section: Introductionmentioning
confidence: 99%
“…Thereby the shank's position will not be consistent during the operation, and the orientation of the robotic platform is thus unlikely to be the same as the actual rotation of ankle joint. Meanwhile, a majority of existing devices utilise rigid actuators such as electric motors or cylinders which are not back-driveable [7]. As a result of this, the human interaction environment is not fully compliant during operation of the devices.…”
Section: Introductionmentioning
confidence: 99%
“…The robot possesses non-negligible inertial and friction characteristics that should alter movement. While models of wrist dynamics [15] show limited inertial effects on pointing movement dynamics, the inertia of the READAPT, approximately the same as the wrist module, [24] is nearly a five-fold increase over the inertia used in a biomechanical model, [15] which could have an effect on wrist pointing movements. Since static friction is not present in the model, it could have an even greater perturbing effect on kinematic couplings.…”
Section: Discussionmentioning
confidence: 99%
“…1), we adapt the controller proposed in [14], which consists of three main components: subject ability estimation, feedback gain modification, and on-line trajectory recalculation. The subject ability estimation algorithm employed in this study was based on the adaptive controller [20], using the following adaptation law:θ…”
Section: A Aan Controllermentioning
confidence: 99%
“…For this study, we extende our previous formulation by introducing direction dependency on the regressor matrix Y = Y (x,ẋ), considering that an impaired subject might have different levels of disability on their agonist and antagonist muscles. As in [14], we use Gaussian Radial Basis Functions (RBFs) as known functions included in the regressor matrix, but we doubled the set of RBFs for each DOF to account for direction dependence.…”
Section: A Aan Controllermentioning
confidence: 99%
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