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A review of the key technologies for sEMG-based human-robot interaction systems
K Li, J Zhang, L Wang, M Zhang, J Li, S Bao - … Signal Processing and …, 2020 - Elsevier
As physiological signals that are closely related to human motion, surface electromyography
(sEMG) signals have been widely used in human-robot interaction systems (HRISs). Some …
(sEMG) signals have been widely used in human-robot interaction systems (HRISs). Some …
Motor synergies and the equilibrium-point hypothesis
ML Latash - Motor control, 2010 - journals.humankinetics.com
The article offers a way to unite three recent developments in the field of motor control and
coordination:(1) The notion of synergies is introduced based on the principle of motor …
coordination:(1) The notion of synergies is introduced based on the principle of motor …
Endpoint stiffness of the arm is directionally tuned to instability in the environment
It has been shown that humans are able to selectively control the endpoint impedance of
their arms when moving in an unstable environment. However, directional instability was …
their arms when moving in an unstable environment. However, directional instability was …
Physical collaboration of human-human and human-robot teams
Human partners working on a target acquisition task perform faster than do individuals on
the same task, even though the partners consider each other to be an impediment. We …
the same task, even though the partners consider each other to be an impediment. We …
Computational motor control: redundancy and invariance
E Guigon, P Baraduc… - Journal of …, 2007 - journals.physiology.org
The nervous system controls the behavior of complex kinematically redundant
biomechanical systems. How it computes appropriate commands to generate movements is …
biomechanical systems. How it computes appropriate commands to generate movements is …
[КНИГА][B] Human robotics: neuromechanics and motor control
A synthesis of biomechanics and neural control that draws on recent advances in robotics to
address control problems solved by the human sensorimotor system. This book proposes a …
address control problems solved by the human sensorimotor system. This book proposes a …
A myokinetic arm model for estimating joint torque and stiffness from EMG signals during maintained posture
The perturbation method has been used to measure stiffness of the human arm with a
manipulator. Results are averages of stiffness during short perturbation intervals (< 0.4 s) …
manipulator. Results are averages of stiffness during short perturbation intervals (< 0.4 s) …
Impedance control reduces instability that arises from motor noise
There is ample evidence that humans are able to control the endpoint impedance of their
arms in response to active destabilizing force fields. However, such fields are uncommon in …
arms in response to active destabilizing force fields. However, such fields are uncommon in …
Muscle cocontraction following dynamics learning
Coactivation of antagonist muscles is readily observed early in motor learning, in
interactions with unstable mechanical environments and in motor system pathologies. Here …
interactions with unstable mechanical environments and in motor system pathologies. Here …
Muscle short-range stiffness can be used to estimate the endpoint stiffness of the human arm
The mechanical properties of the human arm are regulated to maintain stability across many
tasks. The static mechanics of the arm can be characterized by estimates of endpoint …
tasks. The static mechanics of the arm can be characterized by estimates of endpoint …