In this paper, we analyze the effectiveness of a predictive redundancy resolution for constrained manipulators in case of on-line re-planning. The method is suitably modified to cope with re-planning issues, such as possible infeasible motions and position errors. Several re-planning scenarios are evaluated. Their definition is based on the smoothness of the re-planned task with respect to the current state of the robot. This allows a deep investigation of the behavior of the method under different conditions. Simulations results on a 7-degree-of-freedomKUKA LWR IV demonstrate remarkable advantages of the predictive method, both in terms of task error and redundancy exploitation
Redundant robots motion planning and control in uncertain task is addressed by model-based approach....
In this paper a repeatable inverse kinematic task was solved via an approximation of a pseudo-invers...
Redundant robotic manipulators under kinematic control may exhibit unpredictable behaviors at the j...
In this paper, we analyze the effectiveness of a predictive redundancy resolution for constrained ma...
The paper presents a fast online predictive method to solve the task-priority differential inverse k...
The paper presents a fast online predictive method to solve the task-priority differential inverse k...
In this paper, we propose a new method for the online redundancy resolution of robot manipulators, w...
Redundancy offers a potential over nonredundancy in robot design and control in terms of greater mot...
Redundancy offers a potential over nonredundancy in robot design and control in terms of greater mot...
Kinematically-redundant manipulators present considerable difficulties, especially from the view of ...
Redundant manipulators are usually required to perform tasks in the operational space, but collision...
This article presents new closed-loop schemes for solving the inverse kinematics of constrained redu...
Redundant manipulators are usually required to perform tasks in the operational space, but collision...
Redundant robots motion planning and control in uncertain task is addressed by model-based approach....
In this paper a repeatable inverse kinematic task was solved via an approximation of a pseudo-invers...
Redundant robotic manipulators under kinematic control may exhibit unpredictable behaviors at the j...
In this paper, we analyze the effectiveness of a predictive redundancy resolution for constrained ma...
The paper presents a fast online predictive method to solve the task-priority differential inverse k...
The paper presents a fast online predictive method to solve the task-priority differential inverse k...
In this paper, we propose a new method for the online redundancy resolution of robot manipulators, w...
Redundancy offers a potential over nonredundancy in robot design and control in terms of greater mot...
Redundancy offers a potential over nonredundancy in robot design and control in terms of greater mot...
Kinematically-redundant manipulators present considerable difficulties, especially from the view of ...
Redundant manipulators are usually required to perform tasks in the operational space, but collision...
This article presents new closed-loop schemes for solving the inverse kinematics of constrained redu...
Redundant manipulators are usually required to perform tasks in the operational space, but collision...
Redundant robots motion planning and control in uncertain task is addressed by model-based approach....
In this paper a repeatable inverse kinematic task was solved via an approximation of a pseudo-invers...
Redundant robotic manipulators under kinematic control may exhibit unpredictable behaviors at the j...