| The study of the mobile robot began in the late 1960s. The mobile robot is typical autonomous intelligent system, is a hot of the high-tech field, is the cross-product of the computer artificial intelligence, robotics, control theory, electronic technology and other technical disciplines. Not only is the mobile robot very attractive value and commercial value, but it is also the challenge of the study of intelligent technology which makes the development of the mobile robot provide a good test platform for the study of various intelligent technology and programs. Now, the related studies of the mobile robot technology have made a lot of achievements, but there are many key theoretical and technical issues to be addressed and improved. Thus, mobile machinery-related technology and mobile intelligent robots are all very practical significance. Under the unknown or complicated environment, current research shows that it is not yet possible to design autonomous mobile robot. In the process of the intelligent of the mobile robot, HCI are also intelligence. In 1990s, with the sign of high standards of environmental information sensors, information technology, high adaptability of mobile robot control technology and real environment for the planning of technical signs, it launched a higher level research of mobile robot.In this dissertation, for the study assignment of the based mobile robot modeling and simulation, path planning, sensor data fusion for research, the main assignment is the application of intelligent optimization algorithms. Mobile robot-related technologies means: Static or change known, some known and unknown environment mobile robot path planning theories, methodologies and key technologies; environmental modeling and orientation methods; intelligent algorithm of the theory and methods related with mobile robot based and so on, master reserch content is:1. On the basis of researching genetic algorithm, immune algorithm, clonal selection algorithm and quantum algorithm as well as intelligent optimization algorithm, focusing on the intelligent optimization algorithm mixed, the immune genetic algorithm and immune clonal selection algorithm and quantum algorithm for genetic algorithm design and analysis of convergence, the algorithm proved that Hybrid Intelligent optimization algorithm is better than a single algorithm, and it is very robust , fast optimization, convergence so on.2. We analyze and compare the multi-sensor information fusion method, structure and levels. Adaptive weighted fusion algorithm based ultrasonic sensor and infrared sensor information fusion can enable autonomous mobile robot obstacle avoidance and navigation3. Through modeling of wheeled mobile robot kinematics and dynamics model, we get its expression of location and speed and analyze its controllability and stability. A genetic algorithm was used to the adjustment of PID parameters of the mobile robot and designs the architecture of the mobile robot system and the models of the subsystem.4. We study the implementation and application of genetic algorithms, quantum genetic algorithm, immune algorithm and immune clonal algorithm in mobile robot path planning so as to solve the path planning problem of mobile robots in dynamic and non-structural environment.
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