Recognition of In-Hand Manipulation along with Rolling Contact using Orbital Motion of Contact Points on Object Surface
Masahiro Kondo, Jun Ueda, Yoshio Matsumoto, Tsukasa Ogasawara
- Year
- 2006
- Citations
- 3
Abstract
We are developing a direct teaching system for a multifingered robot hand. This system teaches instinctively by manipulating an object with an attached sensor. The multifingered robot hand then realizes a manipulation similar to the input manipulation. In this paper, we propose a recognition method for object manipulation using contact state transition on an object's surface, where a pressure distribution sensor is directly attached to the manipulated object. The manipulation is recognized by the orbital motion of contact points generated by rolling contacts. To evaluate the proposed method, we conduct a recognition experiment, the results of which shows the effectiveness of the method and the importance of the contact information. Target tasks involve in-hand manipulation, which can change the position/orientation of the object using only the motion of the fingers
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