Localization and navigation for an autonomous mobile robot using light detection and ranging
Not available
| 第一著者: | |
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| その他の著者: | |
| フォーマット: | Master's thesis |
| 言語: | 英語 |
| 出版事項: |
Universiti Teknologi Malaysia
2025
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| 主題: | |
| オンライン･アクセス: | https://utmik.utm.my/handle/123456789/41188 |
| Abstract | Abstract here |
| _version_ | 1854975117968277504 |
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| author | Mohamed Amer Mansur Eljabo |
| author2 | Mohamad Amir Shamsudin |
| author_facet | Mohamad Amir Shamsudin Mohamed Amer Mansur Eljabo |
| author_sort | Mohamed Amer Mansur Eljabo |
| description | Not available |
| format | Master's thesis |
| id | utm-123456789-41188 |
| institution | Universiti Teknologi Malaysia |
| language | English |
| publishDate | 2025 |
| publisher | Universiti Teknologi Malaysia |
| record_format | dspace |
| record_pdf | Abstract |
| spelling | utm-123456789-411882025-08-21T14:11:48Z Localization and navigation for an autonomous mobile robot using light detection and ranging Mohamed Amer Mansur Eljabo Mohamad Amir Shamsudin Electrical engineering Not available Autonomous mobile robots are becoming ever more ubiquitous in many industrial and commercial settings. A major driver of the robot’s autonomy comes from its ability to navigate its surroundings. This is a topic of great interest to researchers and industry users. The limitations of existing navigation techniques for autonomous mobile robots, such as reduced accuracy, reliability, and efficiency in dynamic and complex environments. For this reason, this work proposes a navigation system that effectively integrates LIDAR-based perception with the ROS ecosystem to achieve robust, real-time obstacle detection, localization, and path planning, while overcoming challenges posed by noise, occlusions, and dynamic obstacles. The first stage of the project will involve robot modelling using the Unified Robot Description Format and simulation in Gazebo, followed by preliminary simulation in Gazebo. Next phase will involve developing the navigation software within the ROS framework and testing on the simulated robot model developed in the first phase. In the final phase, the proposed navigation system will be tested, and its performance evaluated in the simulated testing environment. The expected findings included both qualitative and quantitative performance metrics of the navigation system. Qualitatively, we will note the robot’s behaviour and ability to smoothly move about while navigating the obstacles. Quantitatively, we will look at metrics such as localization error, path length and success rate in reaching its goal without collisions. Autonomous robot navigation is important because it enables robots to manoeuvre in complex and challenging applications efficiently and safely, these include logistics, transportation, and agriculture to name a few, leading to increased productivity, reduced human intervention. zulraizam UTM 58 p. Thesis Master of Engineering (Mechatronics and Automatic Control)) - Universiti teknologi malaysia, 2023 2025-03-10T02:16:34Z 2025-03-10T02:16:34Z 2023 Master's thesis https://utmik.utm.my/handle/123456789/41188 vital:154033 valet-20231023-084559 ENG Closed Access UTM Complete Unpublished Completion application/pdf Universiti Teknologi Malaysia |
| spellingShingle | Electrical engineering Mohamed Amer Mansur Eljabo Localization and navigation for an autonomous mobile robot using light detection and ranging |
| thesis_level | Master |
| title | Localization and navigation for an autonomous mobile robot using light detection and ranging |
| title_full | Localization and navigation for an autonomous mobile robot using light detection and ranging |
| title_fullStr | Localization and navigation for an autonomous mobile robot using light detection and ranging |
| title_full_unstemmed | Localization and navigation for an autonomous mobile robot using light detection and ranging |
| title_short | Localization and navigation for an autonomous mobile robot using light detection and ranging |
| title_sort | localization and navigation for an autonomous mobile robot using light detection and ranging |
| topic | Electrical engineering |
| url | https://utmik.utm.my/handle/123456789/41188 |
| work_keys_str_mv | AT mohamedamermansureljabo localizationandnavigationforanautonomousmobilerobotusinglightdetectionandranging |