Pose from pushing
Yan-Bin Jia, M. Erdmann
- Year
- 2002
- Citations
- 14
Abstract
In the absence of vision, grasping an object often relies on tactile feedback from the fingertips. Before force closure is formed, where on the object a fingertip touches can usually be felt from the motion of contact on the fingertip during a small amount of pushing. In this paper the authors investigate the first stage of such "blind" grasping. More specifically the authors study the problem of determining the pose of a known planar object by pushing. Assuming sliding friction in the plane, a dynamic analysis of pushing results in a numerical algorithm that compares the object pose from three instantaneous contact positions on a fingertip. Simulations and experiments (with an Adept robot) have been conducted to demonstrate the sensing feasibility. Inspired by the way a human hand grasps, this work can be viewed as a primitive step in exploring interactive sensing in grasping tasks.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002