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.
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