Journal Article10.1177/09544062231167673
A computationally effective singularity avoidance method for redundant manipulators with non-spherical wrists
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TL;DR: In this article , the singularity avoidance problem of a non-spherical manipulator with a single wrist was considered and a singular factor optimization method was proposed to avoid both types of singularities of the redundant manipulator.
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Abstract: For redundant manipulators with non-spherical wrists, we propose a general and computation-effective method of singularity avoidance. Firstly, the dimension of the Jacobian of the redundant manipulator is reduced by the elementary transformation method to obtain the singular factors. Secondly, we use the damped reciprocal method to solve the inverse kinematics solutions of the redundant manipulator. Thirdly, the singularities of the redundant manipulator are divided into non-escapable and escapable singularities, and the singular conditions are determined with the singular factors. Then taking the singularity avoidance as the secondary task of the control system, we propose a singular factor optimization method to avoid both types of singularities of the redundant manipulator. The complexity analysis shows that no need to calculate the pseudo-inverses or partial derivatives of the Jacobian, the proposed method has lower computational complexity. Finally, simulations have been made on the non-escapable and escapable singularities to verify the proposed methods.
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Citations
Research on Singularity Avoidance Trajectory Tracking Control Method of Space Manipulator with Joint Effectiveness Partial Loss Failure
Wenqian Xu,Hao Xu,Wenqian Xu,Hao Xu +3 more
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Tan Fung Chan,Rajiv Dubey +1 more
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TL;DR: It is shown in this paper that one fixed value of the scalar coefficient is not suitable even in a small workspace, and the proposed manipulation scheme automatically chooses an appropriate magnitude of the self-motion throughout the workspace.
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Manipulability Optimization of Redundant Manipulators Using Dynamic Neural Networks
TL;DR: Computer simulations are conducted and show that, compared to the existing methods, the proposed scheme can raise the manipulability almost 40% on average, which substantiates the efficacy, accuracy, and superiority of the proposed manipulable optimization scheme.
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Review of the damped least-squares inverse kinematics with experiments on an industrial robot manipulator
TL;DR: Experimental results on the implementation of the damped least-squares method for the six-joint ABB IRb2000 industrial robot manipulator are presented and a number of inverse kinematics schemes are reviewed which allow robot control through kinematic singularities.
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