DocumentCode
3342353
Title
Goal-contact relaxation graphs for contact-based fine motion planning
Author
Xiao, Jing
Author_Institution
Dept. of Comput. Sci., North Carolina Univ., Charlotte, NC, USA
fYear
1997
fDate
7-9 Aug 1997
Firstpage
25
Lastpage
30
Abstract
In many robotic assembly tasks, fine motions are contact motions among parts which are inevitable because of uncertainties and are even desired to reduce uncertainties. Knowledge of the related contact states is extremely important in planning such motions. Representing contact states as contact formations based on the notion of principal contacts, this paper introduces goal-contact relaxation graphs (GCR graphs) to represent and organize neighboring contact formations of typical “goal” contact formations. The GCR graphs carry concisely the information essential to contact motion planning and can be generated automatically. A task-independent algorithm for generating major subgraphs of GCR graphs is given in this paper
Keywords
assembling; graph theory; industrial manipulators; path planning; set theory; contact formations; contact-based fine motion planning; goal-contact relaxation graphs; major subgraphs; principal contacts; robotic assembly tasks; Computer science; Motion planning; Robotic assembly; State feedback; Uncertainty;
fLanguage
English
Publisher
ieee
Conference_Titel
Assembly and Task Planning, 1997. ISATP 97., 1997 IEEE International Symposium on
Conference_Location
Marina del Rey, CA
Print_ISBN
0-7803-3820-0
Type
conf
DOI
10.1109/ISATP.1997.615379
Filename
615379
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