2004
DOI: 10.1115/1.1639377
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Estimation of Object Kinematics From Point Data

Abstract: One of the fundamental problems arising in kinematics is that of determining object position, velocity and acceleration from given point position, velocity and acceleration data. This type of problem is frequently encountered in robotics, biomechanics, real-time control of space structures, automatic guided vehicles, etc. Complications arise when redundant data are used and when the data have errors. Chutakanonta and Gupta proposed two simple and elegant methods for the estimation of object position from the g… Show more

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Cited by 12 publications
(8 citation statements)
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“…The proposed method is a generalisation of the invariant method developed for three non-collinear markers by Angeles [2]. The use of redundant data has been identified as a critical aspect to improve the accuracy in kinematic parameters [18]. Our method allows the use of a set of n > 3 markers without losing the simplicity of the invariant method.…”
Section: Discussionmentioning
confidence: 98%
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“…The proposed method is a generalisation of the invariant method developed for three non-collinear markers by Angeles [2]. The use of redundant data has been identified as a critical aspect to improve the accuracy in kinematic parameters [18]. Our method allows the use of a set of n > 3 markers without losing the simplicity of the invariant method.…”
Section: Discussionmentioning
confidence: 98%
“…This approach is simpler than the methods based on linear algebra [12] or in singular value decomposition [18], 20.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Screw axis analysis is widely used in the fields of robotics and biomechanics. Several methods have been developed to determine the screw parameters given the measurements of the motion of landmarks on a rigid body [4][5][6][7][8][9]. In contrast to the non-linear analysis of finite displacements using rotation matrix, velocity analysis is a linear problem with simple explicit equations.…”
Section: Introductionmentioning
confidence: 99%
“…The second method is similarly called SVD/ QS Decomposition. An extension of this method for estimating object velocity and acceleration states from given point position, velocity and acceleration data is presented in [6].…”
Section: Introductionmentioning
confidence: 99%