It is difficult to achieve a high-precision motion control in hydraulic manipulators due to their structural redundancy, strong coupling of closed-chain structures, and flow–pressure coupling. In this paper, a high-precision motion control method for hydraulic manipulators is proposed based on the traditional virtual decomposition control (VDC). The method proposed avoids an excessive virtual decomposition of the hydraulic manipulator and requires fewer model parameters than the traditional VDC. Further, the control precision improved by combining an adaptive real-time update of the inertial parameters. Compared with MBC, the proposed control method improved the motion accuracy of the hydraulic manipulator by more than 40% and 20% under ell...
Robotics technology is booming and it is projected to dominate in the coming decade. Although roboti...
High precision motion control of hydraulic manipulators is challenging due to the highly nonlinear d...
This paper presents, for the first time, a method for learning in-contact tasks from a teleoperated ...
The controller design and modelling of hydraulically driven robots is a challenging task. This comes...
This study designs improved hydraulic actuator control with an adaptive feedforward compensation for...
Articulated multiple degrees-of-freedom (DOF) hydraulic manipulators are used in many industry tasks...
Robotics technology is booming and it is projected to dominate in the coming decade. Although roboti...
This paper proposes a novel modelling approach for a heavy-duty manipulator with parallel–serial str...
This paper proposes a novel modelling approach for a heavy-duty manipulator with parallel–serial str...
The controller design and modelling of hydraulically driven robots is a challenging task. This comes...
This paper presents the recent advancements in the control of multiple-degree-of-freedom hydraulic r...
The controller design and modelling of hydraulically driven robots is a challenging task. This comes...
In challenging robotic tasks, high-bandwidth closedloop control performance of the system is require...
In addition to high-precision closed-loop control performance, energy efficiency is another vital ch...
High precision motion control of hydraulic manipulators is challenging due to the highly nonlinear d...
Robotics technology is booming and it is projected to dominate in the coming decade. Although roboti...
High precision motion control of hydraulic manipulators is challenging due to the highly nonlinear d...
This paper presents, for the first time, a method for learning in-contact tasks from a teleoperated ...
The controller design and modelling of hydraulically driven robots is a challenging task. This comes...
This study designs improved hydraulic actuator control with an adaptive feedforward compensation for...
Articulated multiple degrees-of-freedom (DOF) hydraulic manipulators are used in many industry tasks...
Robotics technology is booming and it is projected to dominate in the coming decade. Although roboti...
This paper proposes a novel modelling approach for a heavy-duty manipulator with parallel–serial str...
This paper proposes a novel modelling approach for a heavy-duty manipulator with parallel–serial str...
The controller design and modelling of hydraulically driven robots is a challenging task. This comes...
This paper presents the recent advancements in the control of multiple-degree-of-freedom hydraulic r...
The controller design and modelling of hydraulically driven robots is a challenging task. This comes...
In challenging robotic tasks, high-bandwidth closedloop control performance of the system is require...
In addition to high-precision closed-loop control performance, energy efficiency is another vital ch...
High precision motion control of hydraulic manipulators is challenging due to the highly nonlinear d...
Robotics technology is booming and it is projected to dominate in the coming decade. Although roboti...
High precision motion control of hydraulic manipulators is challenging due to the highly nonlinear d...
This paper presents, for the first time, a method for learning in-contact tasks from a teleoperated ...