Humanoid motion generation system on HRP2-JSK for daily life environment
K. Okada, Takashi Ogura, A. Haneda, Junya Fujimoto, Fabien Gravot, Masayuki Inaba
- Year
- 2006
- Citations
- 110
Abstract
This paper describes software system for a humanoid robot viewed from a motion generation aspect by taking kitchen helping behaviors as an example of a real world task. Our software consists of high level reasoning modules including 3D geometric model based action/motion planner and runtime modules contains 3D visual processor, force manipulation controller and walking controller. We discuss how a high level motion and action planner based motion generation functions contribute to various real world humanoid tasks and a role of perception based motion generation using a vision sensor and force sensors.
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