Abstract
This study examines the TurtleBot3 Waffle Pi mobile robot’s integration into warehouse logistics, highlighting its role in enhancing operational efficiency and reducing costs. Central to the research is the development of a Python-based navigation algorithm that employs LIDAR for autonomous navigation, complemented by a novel positioning strategy. This allows the robot to accurately navigate within a predefined imaginary grid, optimizing workflow, minimizing errors, and cutting operational expenses. A custom-designed lifting mechanism, fabricated via 3D printing, is introduced to improve pallet handling, showcasing the synergy between mechanical innovation and robotics. The integration with Wiren Board 7 controllers facilitates seamless operation, further enhanced by connecting the robot to the Honeywell Experion PKS system through OPC UA technology. This connectivity underscores the robot’s capability to integrate into existing industrial control frameworks, offering a scalable solution for modernizing warehouse operations. Focusing on Kazakhstan’s logistics sector, the application of such technologies demonstrates significant potential to elevate operational efficiency and competitiveness on a national scale. The study emphasizes the critical role of robotics and advanced control systems in logistics, advocating for further technological advancements to support economic growth and sustainability