DocumentCode :
2552952
Title :
Curved surface contact patches with quantified uncertainty
Author :
Vona, Marsette ; Kanoulas, Dimitrios
Author_Institution :
College of Computer and Information Science, Northeastern University, Boston, Massachusetts, USA
fYear :
2011
fDate :
25-30 Sept. 2011
Firstpage :
1439
Lastpage :
1446
Abstract :
We introduce a set of 10 bounded curved-surface patch types suitable for modeling local contact regions both in the environment and on a robot. We present minimal geometric parameterizations using the exponential map for spatial pose both in the usual 6DoF case and also for patches with revolute symmetry that have only 5DoF. We then give an algorithm to fit any patch type to point samples of a surface, with quantified uncertainty both in the input points (including nonuniform variance, common in data from range sensors) and in the output patch. Finally, we outline how such patches can be composed into a spatial patch map of the available contact surfaces both on and around a robot.
Keywords :
Image segmentation; Mathematical model; Robot sensing systems; Shape; Uncertainty; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International Conference on
Conference_Location :
San Francisco, CA
ISSN :
2153-0858
Print_ISBN :
978-1-61284-454-1
Type :
conf
DOI :
10.1109/IROS.2011.6094990
Filename :
6094990
Link To Document :
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