This paper focuses on a dynamic sensory-motor control mechanism of reaching movements for a musculo-skeletal redundant arm model. The formulation of a musculo-skeletal redundant arm system, which takes into account non-linear muscle properties obtained by some physiological understandings, is introduced and numerical simulations are perfomed. The non-linear properties of muscle dynamics make it possible to modulate the viscosity of the joints, and the end point of the arm converges to the desired point with a simple task-space feedback when adequate internal forces are chosen, regardless of the redundancy of the joint. Numerical simulations were performed and the effectiveness of our control scheme is discussed through these results. The re...
Human motor control is highly efficient in generating accurate and appropriate motor behavior for a ...
Mammalian motor control is implemented by a combination of different networks and system, working co...
In this study, we introduce a hierarchical and modular computational model to explain how the CNS (C...
Biological systems show outstanding performance in the control of highly redundant and nonlinear sys...
Biological systems show outstanding performance in the control of highly redundant and nonlinear sys...
International audienceThe nervous system controls the behavior of complex kinematically redundant bi...
International audienceThe nervous system controls the behavior of complex kinematically redundant bi...
Abstract This paper presents a robotic arm controller for reaching motions. This controller applies...
This paper presents a robotic arm controller for reaching motions. This controller applies two princ...
The basic hypothesis of producing a range of behaviors using a small set of motor commands has been ...
work on control algorithms dealing with redundant robot systems for achieving human-like motion char...
Abstract — This paper presents a robotic arm controller for reaching motions. This controller applie...
Human motor control is highly efficient in generating accurate and appropriate motor behavior for a ...
ABSTRACT- The focus of this paper is on the development of models of the control of musculo-skeletal...
Human motor control is highly efficient in generating accurate and appropriate motor behavior for a ...
Human motor control is highly efficient in generating accurate and appropriate motor behavior for a ...
Mammalian motor control is implemented by a combination of different networks and system, working co...
In this study, we introduce a hierarchical and modular computational model to explain how the CNS (C...
Biological systems show outstanding performance in the control of highly redundant and nonlinear sys...
Biological systems show outstanding performance in the control of highly redundant and nonlinear sys...
International audienceThe nervous system controls the behavior of complex kinematically redundant bi...
International audienceThe nervous system controls the behavior of complex kinematically redundant bi...
Abstract This paper presents a robotic arm controller for reaching motions. This controller applies...
This paper presents a robotic arm controller for reaching motions. This controller applies two princ...
The basic hypothesis of producing a range of behaviors using a small set of motor commands has been ...
work on control algorithms dealing with redundant robot systems for achieving human-like motion char...
Abstract — This paper presents a robotic arm controller for reaching motions. This controller applie...
Human motor control is highly efficient in generating accurate and appropriate motor behavior for a ...
ABSTRACT- The focus of this paper is on the development of models of the control of musculo-skeletal...
Human motor control is highly efficient in generating accurate and appropriate motor behavior for a ...
Human motor control is highly efficient in generating accurate and appropriate motor behavior for a ...
Mammalian motor control is implemented by a combination of different networks and system, working co...
In this study, we introduce a hierarchical and modular computational model to explain how the CNS (C...