Title | ||
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An outline for an intelligent system performing peg-in-hole actions with flexible objects |
Abstract | ||
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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 Jordt | 1 | 79 | 6.02 |
Andreas R. Fugl | 2 | 0 | 0.34 |
Leon Bodenhagen | 3 | 56 | 9.11 |
M. Willatzen | 4 | 32 | 5.50 |
Reinhard Koch | 5 | 2038 | 170.17 |
Henrik Gordon Petersen | 6 | 111 | 17.88 |
Knud A. Andersen | 7 | 0 | 0.34 |
Martin M. Olsen | 8 | 2 | 0.73 |
Norbert Krüger | 9 | 312 | 19.80 |