This paper presents a control method based on virtual passive dynamic control that will stabilize a robot manipulator using joint torque sensors and a simple joint model. The method does not require joint position or velocity feedback for stabilization. The proposed control method is stable in the sense of Lyaponov. The control method was implemented on several joints of a laboratory robot. The controller showed good stability robustness to system parameter error and to the exclusion of nonlinear dynamic effects on the joints. The controller enhanced position tracking performance and, in the absence of position control, dissipated joint energy
Abstract: A framework for modeling and control is introduced for robotic manipulators with a number ...
Biological systems are able to perform complex movements with high energy-efficiency and, in general...
In this research we investigate a class of systems which can only be controlled by dissipating energ...
Author's accepted manuscript (postprint).This article has been published in a revised form in Roboti...
A framework for modeling and control is introduced for robotic manipulators with a number of energet...
The dynamic model of a robot manipulator is described by a set of nonlinear, highly coupled differen...
Based on recent advances in contraction methods in systems and control, in this paper we present the...
A methodology for model-independant controller design for controlling large angular motion of multi-...
© 2019 IEEE. This paper proposes a novel controller framework for antagonistically driven pneumatic ...
Lightweight robots are known to be intrinsically elastic in their joints. The established classical ...
A passivity and Lyapunov based approach for the control design for the trajectory tracking problem o...
Abstract — In this paper we introduce a friction observer for robots with joint torque sensing (in p...
In this note we propose a simple solution to the regulation problem of rigid robots based on the ava...
In this work, we present a constructive method to design a family of virtual contraction based contr...
grantor: University of TorontoThis thesis focuses on the development of new motion and fo...
Abstract: A framework for modeling and control is introduced for robotic manipulators with a number ...
Biological systems are able to perform complex movements with high energy-efficiency and, in general...
In this research we investigate a class of systems which can only be controlled by dissipating energ...
Author's accepted manuscript (postprint).This article has been published in a revised form in Roboti...
A framework for modeling and control is introduced for robotic manipulators with a number of energet...
The dynamic model of a robot manipulator is described by a set of nonlinear, highly coupled differen...
Based on recent advances in contraction methods in systems and control, in this paper we present the...
A methodology for model-independant controller design for controlling large angular motion of multi-...
© 2019 IEEE. This paper proposes a novel controller framework for antagonistically driven pneumatic ...
Lightweight robots are known to be intrinsically elastic in their joints. The established classical ...
A passivity and Lyapunov based approach for the control design for the trajectory tracking problem o...
Abstract — In this paper we introduce a friction observer for robots with joint torque sensing (in p...
In this note we propose a simple solution to the regulation problem of rigid robots based on the ava...
In this work, we present a constructive method to design a family of virtual contraction based contr...
grantor: University of TorontoThis thesis focuses on the development of new motion and fo...
Abstract: A framework for modeling and control is introduced for robotic manipulators with a number ...
Biological systems are able to perform complex movements with high energy-efficiency and, in general...
In this research we investigate a class of systems which can only be controlled by dissipating energ...