Application of artificial neural network theory and control genetic algorithms AUTOMATIC ROBOT
Abstract:
ABSTRACT
According to forecasts, within 20 years each person will have the need of using a personal robot as the necessity of a personal computer nowadays and robots will be the focus of a great technological revolution behind the Internet. With this trend, along with other traditional applications of robots in industry, healthcare, education and training, entertainment and especially in national defense security, the robot market and the arisen services will be extremely large.
Robots synthesize both science and technology. To design and build robots, it is necessary to have the knowledge of mathematics, mechanics, Physics, electronics, control theory, computational sciences and many other knowledge. To be able to get the robots application, we need to know about the application object. The robot is a product that integrates both science and technology with high complexity.
The robot has made significant progress over the past half century. The first robot was applied in industry in 1960s to replace humans for doing heavy and dangerous work in malicious environments. Due to the more and more demand of robots in complex manufacturing processes, industrial robots need to have more flexible and intelligent adaptation capabilities. Today, in addition to the initial application of the robot in machine building, other applications such as in healthcare, agriculture, shipbuilding, construction, national defense security and families are in increased need, which is the motivation for the development of terrain robots service robots.