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The Research On Groups Of Robots To Gather Motor Coordination Based On Clustering Algorithm

Posted on:2013-04-21Degree:MasterType:Thesis
Country:ChinaCandidate:C Y GuoFull Text:PDF
GTID:2248330374455795Subject:Mechanical Manufacturing and Automation
Abstract/Summary:PDF Full Text Request
Group robot cooperative system is all important topic in the robot systemresearch.In this paper,all extensive literature on group based on the informationcontent of robot cooperation system and the current research were analyzed andsummarized.Based on the combination frame clustering algorithm, intend to strengthconsultations strategy, k-means clustering algorithm based on the theory of theintelligence, The group discussed the basic principle of robot cooperation system,establish robot path planning group gathered formation of the mathematical model,the motion control model. The consultation and intend to strength strategy andestablish co-operative macro-control mechanism, solve group conflict robotcooperation system. Build complex system structure, in this structure of robots willbe four control behavior function, in order to avoid the robot in the process ofcollision in sports, make robots effective evades obstacles and keep the formation.Using PIC MCU—based,infrared sensors for the system input,DC motorPWMcontrol signal for the system output, the development of group robotarchitecture,and with intelligence theory as the foundation, the object-orientedvisual programming software for the platform, and write robot hardware controlprocedures.To k-means clustering algorithm based on group gathered for the machine toformation simulation experiment,based on the established system for experimentalgroup robot platform, Physical experiments show that the robot cooperation groupsystem reliable and stability, and proves that the method is applied to the robotcooperation system platform group has good effect.
Keywords/Search Tags:combination frame clustering algorithm, K-means clustering algorithms, Consultation and intend to strength rules, Group robot system, Gathered formation
PDF Full Text Request
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