Demonstration-based learning and control for automatic grasping. Tegin, J., Ekvall, S., Kragic, D., Wikander, J., & Iliev, B. Intelligent Service Robotics, 2(1):23--30, Springer, 2009. abstract bibtex We present a method for automatic grasp generation based on ob ject shape primitives in a Programming by Demonstration framework. The system rst recognizes the grasp performed by a demonstrator as well as the ob ject it is applied on and then generates a suitable grasping strategy on the robot. We start by presenting how to model and learn grasps and map them to robot hands. We continue by performing dynamic simulation of the grasp execution with a focus on grasping ob jects whose pose is not perfectly known.
@Article{Tegin2009,
Title = {Demonstration-based learning and control for automatic grasping},
Author = {Tegin, Johan and Ekvall, Staffan and Kragic, Danica and Wikander, Jan and Iliev, Boyko},
Journal = {Intelligent Service Robotics},
Year = {2009},
Number = {1},
Pages = {23--30},
Volume = {2},
Abstract = {We present a method for automatic grasp generation based on
ob ject shape primitives in a Programming by Demonstration framework.
The system rst recognizes the grasp performed by a demonstrator as well
as the ob ject it is applied on and then generates a suitable grasping strategy
on the robot. We start by presenting how to model and learn grasps and map
them to robot hands. We continue by performing dynamic simulation of the
grasp execution with a focus on grasping ob jects whose pose is not perfectly
known.},
Publisher = {Springer},
Timestamp = {2013.10.08}
}
Downloads: 0
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