Natural motion trajectory generation of biped locomotion robot using genetic algorithm through energy optimization
T. Arakawa, Takahiro Fukuda
- Year
- 2002
- Citations
- 43
Abstract
The purpose of this research is to study the natural motion of a biped locomotion robot walking like a human in various environments. In this paper, we report about the natural motion trajectory generation of biped locomotion robot. We apply the genetic algorithm to off-line trajectory generation of biped locomotion robot through energy optimization and aim to generate more natural motion by considering the dynamic effect. Furthermore, we formulate the trajectory generation problem as a minimizing problem of energy so as to generate natural motion. To apply this calculated trajectory to a practical robot, we build a biped locomotion robot in trial, which has 13 joints and made of aluminum materials. Finally, we confirm that the calculated natural motion trajectory can be applied to practical biped locomotion.
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