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dc.contributor.authorShafik, Mahmoud
dc.date.accessioned2016-11-21T10:23:04Z
dc.date.available2016-11-21T10:23:04Z
dc.date.issued2015-06-15
dc.identifier.citationShafik, M. (2015) 'Editorial note: Robotics and industrial automation technology', International Journal of Robotics and Mechatronics, 2 (2).en
dc.identifier.issn2288-5889
dc.identifier.doi10.21535%2Fijrm.v2i2.881
dc.identifier.urihttp://hdl.handle.net/10545/620911
dc.description.abstractThere is no doubt that robotics and industrial automation technology is evolving quiet fast. However, the end user expectation of the technology realisation is still far from what expected. This is due to the limited development of intelligence, typical human brain cells, 3-Dimensional (3D) visual, audible and dynamic movement systems that have the same abilities and self-learning as human, to help in decision making in various environment. There are number of applied research programmes underdevelopment around the world that addresses some of these aforementioned developments. Vision is one of the most important sense and the future robot/autonomous systems proficiency will significantly depend on the ability to see, recognise, distinguish objects and estimate distances. Most jobs depend on the talent of visual perception and it must acknowledge that today's manufacture technologies and applications more and more often broaden well beyond the limits of human visual capacities. This is where robot and autonomous machine vision technology comes in. It is one of the constantly growing areas of applied research that dealing with processing and analysing of visual digital data capture. It plays a key role in the development of intellectual systems and empowers decision making for some of the future robot, autonomous systems, industrial process and manufacturing.
dc.languageENG
dc.languageENG
dc.language.isoenen
dc.publisherUNSYS Digitalen
dc.relation.urlhttp://ojs.unsysdigital.com/index.php/ijrm/issue/view/33/showTocen
dc.rightsArchived with thanks to Biochemistryen
dc.subjectRoboticsen
dc.subjectArtificial intelligenceen
dc.subjectIndustrial automation technologyen
dc.subject.meshAmylases
dc.subject.meshChromatography, Gel
dc.subject.meshEscherichia coli
dc.subject.meshGlucosyltransferases
dc.subject.meshHydrogen-Ion Concentration
dc.subject.meshKinetics
dc.subject.meshMolecular Weight
dc.subject.meshProtein Denaturation
dc.subject.meshStarch Synthase
dc.subject.meshCephalothin
dc.subject.meshDrug Contamination
dc.subject.meshHydrogen-Ion Concentration
dc.subject.meshInjections, Intravenous
dc.subject.meshMicroscopy
dc.subject.meshMicroscopy, Electron, Scanning
dc.subject.meshSolutions
dc.titleEditorial note: Robotics and industrial automation technologyen
dc.typeArticleen
dc.contributor.departmentUniversity of Derbyen
dc.identifier.journalInternational Journal of Robotics and Mechatronicsen
refterms.dateFOA2019-02-28T15:01:17Z
html.description.abstractThere is no doubt that robotics and industrial automation technology is evolving quiet fast. However, the end user expectation of the technology realisation is still far from what expected. This is due to the limited development of intelligence, typical human brain cells, 3-Dimensional (3D) visual, audible and dynamic movement systems that have the same abilities and self-learning as human, to help in decision making in various environment. There are number of applied research programmes underdevelopment around the world that addresses some of these aforementioned developments. Vision is one of the most important sense and the future robot/autonomous systems proficiency will significantly depend on the ability to see, recognise, distinguish objects and estimate distances. Most jobs depend on the talent of visual perception and it must acknowledge that today's manufacture technologies and applications more and more often broaden well beyond the limits of human visual capacities. This is where robot and autonomous machine vision technology comes in. It is one of the constantly growing areas of applied research that dealing with processing and analysing of visual digital data capture. It plays a key role in the development of intellectual systems and empowers decision making for some of the future robot, autonomous systems, industrial process and manufacturing.


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