The Artificial Intelligence Robot Based On The Cartesian Coordinate System And Mathematical Statistical Algorithms

With the rapid development of science and technology, the development of the robot is not limited to simply a repetitive motion, it is to explore a more advanced artificial intelligence robot, in addition to a simple robot features, they also have some intelligence adaptively to learn and constantly improve their own learning process, the gradual evolution that to be able to create.Of course, now just some sort envisaged, that that day is likely to be achieved; existing technology or the robot to have some intelligence.Use rage robocode development engine can design intelligent robot tanks; it is not based on a specific hardware platform, but a virtual software development platform, so you can make better use of computer powerful computing capabilities in software on the first simulated robot tank model to provide technical support and preparatory work in a certain sense,for the latter part of the specific hardware platform.In this thesis, this development engine, combined with the use of the Java Development Kit and the integrated development environment Eclipse, robot tank model developed to have a certain ability to learn.Which mainly uses the Unified Modeling Language (UML) framework of thinking, currently very popular MVC framework patterns, refactoring previously distributed model area code based on the Cartesian coordinate system, the integration of the global architecture. In addition, mathematical and statistical algorithm is based on non-wholly situation of the Cartesian coordinate system further matching algorithm, to overcome the global algorithm learning and the need for certain laws of motion, found on the applicability of simulation tested indeed been enhanced.Finally, expanded multiple models exist in the battlefield, can be one-to-many mode can also be melee mode, robot tank model data occupy a prerequisite for winning, so focused on these data in what way organize and store it, so after a variety of other algorithms have access to this information is very convenient.