A computer-aided probing strategy for workpiece localization

Zhenhua Xiong, Michael Yu Wang, Zexiang Li

Research output: Chapter in Book/Report/Conference proceedingConference PaperOther

8 Citations (Scopus)

Abstract

This paper presents an optimal planning problem for workpiece measurement. Two sequential optimization algorithms are introduced to find maximum determinant solutions. Then, based on a reliability analysis of workpiece localization and the sequential optimization algorithms, a computer-aided probing strategy is proposed. With this strategy, given the desired translation and orientation error bounds and desired confidence limit, we can experimentally find the least number of points needed to measure. Simulation results show the efficiency of the computer-aided probing strategy.

Original languageEnglish
Title of host publicationIEEE International Conference on Robotics and Automation 2003
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages3941-3946
Number of pages6
Volume3
Publication statusPublished - 2003
Externally publishedYes
EventIEEE International Conference on Robotics and Automation 2003 - Taipei, Taiwan
Duration: 14 Sept 200319 Sept 2003
https://ieeexplore.ieee.org/xpl/conhome/8794/proceeding?isnumber=27829 (Proceedings)

Publication series

NameProceedings - IEEE International Conference on Robotics and Automation
ISSN (Print)1050-4729

Conference

ConferenceIEEE International Conference on Robotics and Automation 2003
Abbreviated titleICRA 2003
Country/TerritoryTaiwan
CityTaipei
Period14/09/0319/09/03
Internet address

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