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Kinematic localization for world model calibration in off-line robot programming using Clifford algebra

  • University of California at Davis

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

10 Scopus citations

Abstract

The calibration of spatial relationships among CAD models of objects used in offline robot programming is discussed. An approach based on a Clifford algebra is used, and simple algorithms for this kinematic localization problem are developed. The position and orientation of each object in a workcell are represented by multivectors of different ranks and the localization problem is converted into that of solving a set of multivector equations. Given locations of points in two frames, an averaging process which yields the best orientation as the root of four linear equations and the best position as a linear combination of the best rotation and the centroids of two point systems is developed. If normal vectors are also sensed, the Clifford algebra representation facilitates definition of a measure of orientation error compatible with the position error.

Original languageEnglish
Title of host publicationProceedings - IEEE International Conference on Robotics and Automation
PublisherPubl by IEEE
Pages584-589
Number of pages6
ISBN (Print)081862163X
StatePublished - 1991
EventProceedings of the 1991 IEEE International Conference on Robotics and Automation - Sacramento, CA, USA
Duration: Apr 9 1991Apr 11 1991

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
Volume1

Conference

ConferenceProceedings of the 1991 IEEE International Conference on Robotics and Automation
CitySacramento, CA, USA
Period04/9/9104/11/91

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