Computational intelligence in robotics and automation
Toshio Fukuda, T. Arakawa
- Year
- 2002
- Citations
- 18
Abstract
Robots have been used in many fields of industry. Robots are important for automation in the factory, laboratory and office, as well as in space. These robots must have the capability for intelligence such as adaptation, learning and evolution. Computational intelligence including neural networks, fuzzy systems and genetic algorithms have been discussed for realizing human intelligence. In order to realize human intelligence functions such as perception, inference, decision making and learning should be integrated. This paper deals with this kind of intelligent robot systems. The intelligence of a robotic system depends on the architecture of hardware and software as a whole system. This paper introduces a robotic system with structured intelligence.
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