Bicriteria Velocity Minimization Approach of Self-Motion for Redundant Robot Manipulators With Varying-Gain Recurrent Neural Network
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DOI: 10.1109/tcds.2021.3054999
Abstract: In this article, a varying-gain neural bicriterion velocity minimization self-motion (VGN-BCVM-SM) approach is proposed to solve the self-motion problem for a redundant robot manipulator. First, based on quadratic programming (QP) method and neural dynamic method,… read more here.
Keywords: redundant robot; approach; self motion; velocity minimization ... See more keywords