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Based On The Swarm Intelligence Theory Of Groups-robot Cooperation System Research

Posted on:2011-09-11Degree:MasterType:Thesis
Country:ChinaCandidate:C YangFull Text:PDF
GTID:2178360305990467Subject:Mechanical Manufacturing and Automation
Abstract/Summary:PDF Full Text Request
Group robot cooperative system is an important topic in the robot system research. In this paper, an extensive literature on group based on the information content of robot cooperation system and the current research were analyzed and summarized.Based on game theory, ant colony algorithm and particle swarm optimization based on the theory of swarm intelligence, a group of the basic principles of robot cooperative system; set up groups of mathematical model of the robot path planning; the introduction of speed optimization, build intelligent robots objective dynamic tracking; established a cooperation model of macro coordination mechanism to address the existence of group conflicts robot cooperation system.Using PIC MCU-based, infrared sensors for the system input, DC motor PWM control signal for the system output, the development of group robot architecture, and to swarm intelligence theory, the preparation of the hardware control program; to be object-oriented visual programming software as a platform, developed with groups of man-machine interface robot software.Groups have been established using the experimental robot system as a platform for different tasks, by studying the population structure of the distribution system model and control strategy optimization, in order to conduct the system to achieve the goal for the group queue robot collaboration experiment, analysis of experimental results, verify the entire group robot cooperative system stable and reliable operation can be, that the method applied to groups of robot cooperation platform with good results.
Keywords/Search Tags:ant colony algorithm, particle swarm optimization, swarm intelligence theory, intelligent mobile robot, collaborative experiment
PDF Full Text Request
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