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dc.contributor.advisorRajamani, Haile S.
dc.contributor.advisorReadle, John C.
dc.contributor.advisorWyatt-Millington, Rosemary A.
dc.contributor.authorMills, Euclid Weatley*
dc.date.accessioned2010-09-28T15:04:21Z
dc.date.available2010-09-28T15:04:21Z
dc.date.issued2010-09-28T15:04:21Z
dc.identifier.urihttp://hdl.handle.net/10454/4436
dc.description.abstractThis thesis investigates the problem of sensors used with mobile robots. Firstly, a colour sensor is considered, for its ability to detect objects having the three primary colours Red, Green and Blue (RGB). Secondly, an accelerometer was investigated, from which velocity was derived from the raw data using numerical integration. The purpose of the design and development of the sensors was to use them for robotic navigation and collision avoidance. This report presents the results of experiments carried out on the colour sensor and the accelerometer. A discussion of the results and some conclusions are also presented. It proved feasible to achieve the goal of detecting colours successfully but only for a limited distance. The accelerometer proved reliable but is not yet being applied in real time. Both the colour sensor and the accelerometer proved to be inexpensive. Some recommendations are made to improve both the colour sensor and the accelerometer sensors.en
dc.language.isoenen
dc.rights<a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/"><img alt="Creative Commons License" style="border-width:0" src="http://i.creativecommons.org/l/by-nc-nd/3.0/88x31.png" /></a><br />The University of Bradford theses are licenced under a <a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/">Creative Commons Licence</a>.en
dc.subjectColour sensoren
dc.subjectAccelerometeren
dc.subjectNavigationen
dc.subjectCollision avoidanceen
dc.subjectMobile roboticsen
dc.titleMobile robotic design. Robotic colour and accelerometer sensor.en
dc.type.qualificationleveldoctoralen
dc.publisher.institutionUniversity of Bradfordeng
dc.publisher.departmentDepartment of Engineering and Technologyen
dc.typeThesiseng
dc.type.qualificationnamePhDen
dc.date.awarded2010
refterms.dateFOA2018-07-19T03:56:30Z


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