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.
|Status||Udgivet - dec. 2011|
|Begivenhed||4th International Conference on Intelligent Robotics and Applications - |
Varighed: 6. dec. 2011 → …
|Konference||4th International Conference on Intelligent Robotics and Applications|
|Periode||06/12/2011 → …|