Specifications

positions between the laser sensor and the end effector are calibrated by means of the cone
surface part of the calibration artefact, using the constraint that the conic node positions for
several different measurements are invariable. During the calibration process, the identification
of all structural parameters from measuring data can be separated furthest, so the calibration
errors brought by strong correlations between all the parameters can be decreased. Moreover,
the differences of different positions of end effector in calculations can be used; thus, the
calibration error which is due to the positioning error of the end effector can be decreased.
Experimental results on real data have demonstrated the effectiveness of our method. © 2013
IOP Publishing Ltd.
Number of references: 27
Main heading: Calibration
Controlled terms: Cones - Coordinate measuring machines - End effectors -
Kinematics - Scanning
Uncontrolled terms: Calibration method - Calibration process - Geometric parameter -
Kinematic Calibration - Positioning accuracy - Relative positions - Strong correlation
- Structural parameter
Classification code: 944 Moisture, Pressure and Temperature, and Radiation Measuring
Instruments - 943.3 Special Purpose Instruments - 943 Mechanical and Miscellaneous
Measuring Instruments - 942 Electric and Electronic Measuring Instruments - 941
Acoustical and Optical Measuring Instruments - 931.1 Mechanics - 741.3 Optical Devices
and Systems - 731.5 Robotics - 631.1 Fluid Flow, General
DOI: 10.1088/0957-0233/24/6/065001
Database: Compendex
Compilation and indexing terms, © 2013 Elsevier Inc.
10.
Accession number: 20132316396460
Title: An efficient density-based clustering algorithm combined with representative set
Authors: Zhou, Hongfang1 ; Wang, Xiao1 ; Zhao, Xuehan1/周红芳;王晓;;
Author affiliation: 1 School of Computer Science and Engineering, Xi'an University of
Technology, Xi'an 710048, China
Corresponding author: Zhou, H. ([e-mail])
Source title: Journal of Information and Computational Science
Abbreviated source title: J. Inf. Comput. Sci.
Volume: 10
Issue: 7
Issue date: May 1, 2013
Publication year: 2013
Pages: 2021-2028
Language: English
ISSN: 15487741
Document type: Journal article (JA)
Publisher: Binary Information Press, Flat F 8th Floor, Block 3, Tanner Garden, 18 Tanner Road,
Hong Kong