DocumentCode :
2331957
Title :
A general representation for orientational uncertainty using random unit quaternions
Author :
Nicewarner, Keith E. ; Sanderson, A.C.
Author_Institution :
Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA
fYear :
1994
fDate :
8-13 May 1994
Firstpage :
1161
Abstract :
Previous work in representing transformational uncertainty used a linearized perturbed-transform method which assumes small angle errors. This paper presents an alternative representation using random unit quaternions that makes no strict small angle error assumption. The approach uses a novel family of probability density functions derived by placing a unit-length constraint upon some or all of the degrees of freedom of a Gaussian in Euclidean space. An important property of this representation is that it does not directly interrelate angles with spatial components. This paper discusses the properties of radially constrained Gaussians, presents specific cases of uncertain rotations, directions, orientations, 2D transformations, and 3D transformations, and then indicates their applications to robotics
Keywords :
parameter estimation; perturbation techniques; position control; probability; robots; stochastic processes; uncertainty handling; 2D transformations; 3D transformations; Euclidean space; linearized perturbed-transform; orientational uncertainty; orientations; probability density functions; radially constrained Gaussians; random unit quaternions; robotics; uncertain rotations; unit-length constraint; Cameras; Computer errors; Goniometers; Kinematics; Quaternions; Random variables; Robot sensing systems; Stochastic processes; Tactile sensors; Uncertainty;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Automation, 1994. Proceedings., 1994 IEEE International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-8186-5330-2
Type :
conf
DOI :
10.1109/ROBOT.1994.351204
Filename :
351204
Link To Document :
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