2016 IEEE 17th International Symposium on Computational Intelligence and Informatics (CINTI) 2016
DOI: 10.1109/cinti.2016.7846380
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Matrix inversion-free quasi-differential approach in solving the inverse kinematic task

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Cited by 16 publications
(2 citation statements)
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“…They used different analytical, geometric, and algebraic methods combined with the Paden-Kahan subproblem and the matrix theory. Other works [23][24][25][26][27] proposed conventional tools to discover the robot manipulator's kinematic solutions.…”
Section: Related Workmentioning
confidence: 99%
“…They used different analytical, geometric, and algebraic methods combined with the Paden-Kahan subproblem and the matrix theory. Other works [23][24][25][26][27] proposed conventional tools to discover the robot manipulator's kinematic solutions.…”
Section: Related Workmentioning
confidence: 99%
“…Realizing the fact that the Moore-Penrose pseudoinverse can simply be generalized by the use of different weights for the quadratic cost function contributions that play similar role as the "joint activation factors" when certain elements of the null space of the Jacobian are mixed into the solution after computing the pseudoinverse, a matrix inversion-free, FPI-based solution of the inverse kinematic task was proposed by Csanádi et al in [63]. The forward kinematic task is expressed by the function f : R n → R m in which n, m ∈ N, and n > m. The "initial position" x ini = f (q ini ) is known, and a function of the scalar variable t ∈ R, q(t) has to be found for which x(t) = f (q(t)), x(t ini ) = x ini , and q(t ini ) = q ini .…”
Section: Delay1mentioning
confidence: 99%