DocumentCode :
1631472
Title :
Hierarchically clustered navigation of distinct Euclidean particles
Author :
Arslan, Oktay ; Guralnik, D.P. ; Koditschek, Daniel E.
Author_Institution :
Dept. of Electr. & Syst. Eng., Univ. of Pennsylvania, Philadelphia, PA, USA
fYear :
2012
Firstpage :
946
Lastpage :
953
Abstract :
This paper introduces and solves the problem of cluster-hierarchy-invariant particle navigation in Conf (Rd, J). Namely, we are given a desired goal configuration, x* ϵ Conf (Rd, J) and τ, a specified cluster hierarchy that the goal supports. We build a hybrid closed loop controller guaranteed to bring any other configuration that supports τ to the desired goal, x* ϵ Conf (Rd, J), through a transient motion whose each configuration along the way also supports that hierarchy.
Keywords :
closed loop systems; motion control; navigation; path planning; pattern clustering; cluster hierarchy invariant particle navigation; distinct Euclidean particles; hierarchically clustered navigation; hybrid closed loop controller; transient motion; Clustering algorithms; Generators; Navigation; Robot kinematics; Standards; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Communication, Control, and Computing (Allerton), 2012 50th Annual Allerton Conference on
Conference_Location :
Monticello, IL
Print_ISBN :
978-1-4673-4537-8
Type :
conf
DOI :
10.1109/Allerton.2012.6483320
Filename :
6483320
Link To Document :
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