DocumentCode
330054
Title
Contact states: representation and recognizability in the presence of uncertainties
Author
Xiao, Jing ; Liu, Lianzhong
Author_Institution
Dept. of Comput. Sci., North Carolina Univ., Charlotte, NC, USA
Volume
2
fYear
1998
fDate
13-17 Oct 1998
Firstpage
1151
Abstract
Recognition of contact states is often necessary or preferred in planning and executing contact-based assembly motions in the presence of uncertainties. However, due to inevitable uncertainties, not all contact states can be identified at all contact configurations. A crucial question is what kinds of contact states at what kinds of configurations are impossible to be distinguished or identified. We address the question by analyzing the recognizability of contact states between convex polyhedral objects with both position/orientation and force/moment sensing in the presence of sensing uncertainties, i.e., by characterizing configurations where contact states are intrinsically indistinguishable with those sensing means. To reflect contact recognizability in contact representation, we propose a fuzzy definition of contact states. We further introduce a practical approach towards real-time automatic contact state identification based on the recognizability analysis
Keywords
assembling; fuzzy set theory; industrial manipulators; topology; uncertain systems; contact representation; contact states; contact-based assembly motions; convex polyhedral objects; recognizability; sensing uncertainties; Assembly; Character recognition; Computer science; Motion analysis; Motion detection; Personal communication networks; Robot sensing systems; State feedback; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Robots and Systems, 1998. Proceedings., 1998 IEEE/RSJ International Conference on
Conference_Location
Victoria, BC
Print_ISBN
0-7803-4465-0
Type
conf
DOI
10.1109/IROS.1998.727454
Filename
727454
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