Designing an Autonomous Mobile Robot Featuring Self-Localization through 3D LiDAR Technology
Ibrayev S. Omarov B.
October 2025Dr D. Pylarinos
Engineering, Technology and Applied Science Research
2025#15Issue 528224 - 28231 pp.
This paper undertakes a deep investigation into the fabrication of a navigation system in which complex environments pose challenges for accuracy, reliability, and adaptability. With the help of the latest sensor fusion techniques, reliable adaptive algorithms, and machine learning models, our proposed system outperforms existing localization techniques, such as those presented in Autowares 3D Simultaneous Localization and Mapping (SLAM) and Normal Distribution Transform (NDT) matching. The system empirically demonstrates effectiveness compared with existing methods through the collection of data during manual trolley relocation experiments and Robotic Operating System (ROS) simulations. This process demonstrates an enhancement of both indoor and outdoor navigation performance. Through the simultaneous utilization of multiple sensors, augmented with real-time dynamic self-adjustments and pattern recognition capabilities, the system exhibits outstanding adaptability to individual environmental conditions, resulting in consistent performance across different operating scenarios. This satisfies the requirement for accurate environmental information in autonomous navigation and addresses the challenges of localization accuracy and adaptability, making a comprehensive impact on the development of autonomous vehicles, robotic systems in manufacturing environments, and other domains. Additionally, the outcomes of this investigation broaden the perspective on the operation and application of autonomous technologies, enhancing the safety, efficiency, and reliability of operations in dynamically changing technological environments. Copyright
3D-SLAM technology , autonomous navigation , environmental adaptability , localization systems , mobile robots , sensor fusion techniques
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Joldasbekov Institute of Mechanics and Engineering, Almaty, Kazakhstan
International Information Technology University, Almaty, Kazakhstan
Al-Farabi Kazakh National University, Almaty, Kazakhstan
Kh. Dosmukhamedov Atyrau State University, Atyrau, Kazakhstan
Joldasbekov Institute of Mechanics and Engineering
International Information Technology University
Al-Farabi Kazakh National University
Kh. Dosmukhamedov Atyrau State University
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