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
Link To Document :
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