Nonstop update of running robot controllers
Eiichi Horiuchi
- Year
- 2005
- Citations
- 2
Abstract
This paper presents a controller design on a RTOS platform to update running controller programs repetitively with small time loss. Field applications are the target of our study. The proposed online update method uses thread swapping in order to replace binary code without any customized operating systems or languages. We introduce a novel layered design based on update frequency for controller modules to manage the dependency among them. We present implementation expertise in update timing for performance improvement and show that a system of subsumption architecture is convertible to online updateable one. The overhead time of the method was measured by using a mobile manipulator and the results show that update can be completed within one servo cycle time.
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