An asymmetric stiffness model of a human hand
Satoko Abiko, Atsushi Konno, Masaru Uchiyama
- Year
- 2010
- Citations
- 2
Abstract
This paper presents an asymmetric stiffness characteristic of a human hand. In human support robotics or medical robotics, the detail comprehension of physical human body is important to develop safe and high performed robots to work cooperatively with a human and to replace human dexterous tasks. It is known that a human arm generates variable stiffness depending on tasks by coactivation of agonist and antagonist muscles. Previous related researches have been presented impedance characteristics of a human upper limb in static posture and dynamic motion. These characteristics are represented by ellipsoids. However, the above analyses are based on a simple muscle model and conventional kinematic and dynamics of an articulated body system. In this paper, perturbation-excited method is carried out for estimating the stiffness of a human hand. The experimental results demonstrate nonlinear property of the stiffness of a human hand. To illustrate the observed stiffness characteristic, this paper proposes nonlinear stiffness model of the human hand.
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