MOBILE ROBOT FOR NAGIVATION AND OCCUPANCY GRID MAPPING

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dc.contributor.advisorAbdulkareem Almusawi, Husam
dc.contributor.authorBello, David Oluwasegun
dc.contributor.departmentDE--Műszaki Kar
dc.date.accessioned2025-12-12T15:03:24Z
dc.date.available2025-12-12T15:03:24Z
dc.date.created2025-12-01
dc.description.abstractThe aim of this thesis to implement a mobile robot to deliver packages in an enclosed space: remotely to a recipient. This can be applied in various fields such as health care systems in hospitals, transportation and delivery of goods and packages. The robot uses Extended Kalman Filter for sensor fusion. Bayes Theorem was used to update the cells in the occupancy grid map made in real time Simultaneous Localization and Mapping. Bresenham algorithm acts as a checker between the robot and obstacles to detect the presence of free space that the bayes theorem updates with log-odds. The navigation uses frontier based as the robot explore the environment while performing SLAM. The navigation used is after the map has been built is DWA
dc.description.courseMechatronical Engineeringen
dc.description.degreeBSc/BA
dc.format.extent78
dc.identifier.urihttps://hdl.handle.net/2437/399827
dc.language.isoen
dc.rights.infoHozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében.
dc.subjectSensor Fusion
dc.subjectExtended Kalman Filter
dc.subjectBayes Filter
dc.subjectOccupancy Grid Map
dc.subject.dspaceEngineering Sciences
dc.titleMOBILE ROBOT FOR NAGIVATION AND OCCUPANCY GRID MAPPING
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