Title
An outline for an intelligent system performing peg-in-hole actions with flexible objects
Abstract
We describe the outline of an adaptable system which is able to perform grasping and peg-in-hole actions with flexible objects. The system makes use of visual tracking and shape reconstruction, physical modeling of flexible material and learning based on a kernel density approach. We show results for the different sub-modules in simulation as well as real world data.
Year
DOI
Venue
2011
10.1007/978-3-642-25489-5_42
ICIRA
Keywords
Field
DocType
adaptable system,shape reconstruction,peg-in-hole action,real world data,flexible object,kernel density approach,different sub-modules,flexible material,intelligent system,physical modeling,visual tracking
Coordinate system,Computer vision,Eye tracking,Artificial intelligence,Engineering,Shape reconstruction,Kernel density estimation
Conference
Volume
ISSN
Citations 
7102.0
0302-9743
0
PageRank 
References 
Authors
0.34
11
9
Name
Order
Citations
PageRank
Andreas Jordt1796.02
Andreas R. Fugl200.34
Leon Bodenhagen3569.11
M. Willatzen4325.50
Reinhard Koch52038170.17
Henrik Gordon Petersen611117.88
Knud A. Andersen700.34
Martin M. Olsen820.73
Norbert Krüger931219.80