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dc.creatorMiljković, Zoran
dc.date.accessioned2023-03-22T08:31:21Z
dc.date.available2023-03-22T08:31:21Z
dc.date.issued2002
dc.identifier.isbn86-82631-15-6
dc.identifier.urihttps://machinery.mas.bg.ac.rs/handle/123456789/6598
dc.description.abstractThis paper takes into consideration the concept of control strategy for solving problems which appear during information classification in order to map the numerical data obtained from the sensor-camera into symbolic data, on the basis of which autonomous robot can "understand" the state of the process in which it takes part. The concept is based upon two feedbacks, i.e. levels of intelligent: level of learning and level of adoption. So, the system able to "sense" its environment, processes information in function of reducing uncertainties, plans, generates and carries out control actions in situations which are stochastic, constitutes the intelligent control system, given in the paper as a possible example of autonomous robot control.sr
dc.language.isoensr
dc.publisherUniversity of Kragujevac, Faculty of Mechanical Engineering in Kraljevo, Serbiasr
dc.rightsclosedAccesssr
dc.sourceProceedings of the 4th International Conference 'Heavy Machinery - HM'02, Kraljevo, Serbiasr
dc.subjectControl strategysr
dc.subjectNumerical datasr
dc.subjectSensor-camerasr
dc.subjectSymbolic datasr
dc.subjectState of the robotized manufacturing processsr
dc.subjectLevel of robotic learningsr
dc.subjectLevel of robotic adoptionsr
dc.subjectManufacturing environmentsr
dc.subjectParameter uncertaintysr
dc.subjectControl actionssr
dc.subjectAutonomous robot controlsr
dc.titleIntelligent Control System of Autonomous Robotsr
dc.typeconferenceObjectsr
dc.rights.licenseARRsr
dc.rights.holderProf. Milomir Gašićsr
dc.citation.epageD.108
dc.citation.rankM33
dc.citation.spageD.105
dc.identifier.rcubhttps://hdl.handle.net/21.15107/rcub_machinery_6598
dc.type.versionpublishedVersionsr


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