Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.333039
Title: Environment sensing and modelling, path finding and position location for a mobile robot
Author: Seals, Richard Charles
Awarding Body: University of Surrey
Current Institution: University of Surrey
Date of Award: 1985
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Abstract:
The results of previous research into mobile robotics were studied and several fundamental properties deduced. These were then considered in detail and optimum techniques selected for implementation on a prototype mobile robot. Several constraints were placed .on the prototype mobile robot, such as the potential for untethered use (i.e. no umbilical connections) and minimum restrictions on the environment. The investigation was concentrated in four main areas: environment modelling, path selection and following, absolute position location and environment sensors. An initial simulation was implemented on a mainframe computer which used an x-Y grid square model of the environment with a simple scanning rangefinder, to investigate the usefulness of the Means-end path finding algorithm. Results were obtained for varying states of the environment (i.e. known, unknown and partially known) which indicated that the path finding algori thm was sui table for implementation on the prototype mobile robot. An improved environment model which used a quasi-continuous X-Y cartesian coordinate system was then constructed. This was designed to enable environment data from the simulated or prototype scanning rangefinders to be used as input to the control processes, wi th movement of the simulated or prototype mobile robot as the output. In this way the mobile robot was able to find paths using the model of the environment and then attempt to follow them in the physical envi ronment. Al ternati vely, the prototype mobile robot was able to find a path through an unknown environment using data from the rangefinder only. In addi tion, a posi tion location process was implemented which operated by identifying the position of known objects in the environment by matching the distribution of three of the detected objects agai nst the di stri bution of all known sets of three objects. Once the objects had been identified the posi tion of the prototype mobile robot was calculated. The preliminary results indicated that the position could be found using this technique but that more investigation was required to reduce the ambiguity of the results.
Supervisor: Not available Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.333039  DOI: Not available
Keywords: Bionics Bionics Robotics
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