Development and research of an autonomous mobile platform with reduced computing power requirements
Authors:   Federal State Budgetary Educational Institution of Higher Education «Ufa University of Science and Technology» (FSBEI HE «UUNiT»), Ismagilov Flur , Vavilov Vyacheslav ,   Federal State Budgetary Educational Institution of Higher Education «Ufa University of Science and Technology» (FSBEI HE «UUNiT»), Dernov Mikhail ,   Federal State Budgetary Educational Institution of Higher Education «Ufa University of Science and Technology» (FSBEI HE «UUNiT»), Urazbakhtin Ruslan ,   Federal State Budgetary Educational Institution of Higher Education «Ufa University of Science and Technology» (FSBEI HE «UUNiT»), Galiev Ramil ,   Federal State Budgetary Educational Institution of Higher Education «Ufa University of Science and Technology» (FSBEI HE «UUNiT»)
Published: September 2024

Today, the market is saturated with a variety of autonomous robotic devices that offer a variety of solutions to opti-mize workflows in various industries. One of the leading areas of their application is the automation of warehouse operations, where store robots move and optimize warehouse processes, reducing labor costs and speeding up task completion. These technologies reveal some limitations and shortcomings. For example, categories of robots such as transport carts, forklifts, and automated towing vehicles are limited in their functionality, often resulting in the need to use multiple types of devices for different tasks. This leads to equipment redundancy and complicates integration into existing warehouse systems. Another significant aspect is the need to improve the routing and nav-igation algorithms for these devices. Modern autonomous robot systems often face route optimization challenges, especially in dynamic and complex warehouse environments. This can lead to inefficiencies and increased time delays [1]. The goal of this work is to develop an autonomous mobile platform that would solve possible problems with navigation, have well-developed routing algorithms combined with low cost for affordable use in small busi-nesses. The research methods involve conducting various experiments on a real mobile platform to collect data and evaluate performance, including measuring the speed, accuracy, and power consumption of transportation tasks. Development and optimization of new algorithms for managing a mobile platform, planning routes, analyz-ing signals from sensors, processing images and video from a camera. The result of the work is that the possibility of compatibility of the on-board computer (single board computer) with the flight controller for movement on the ground surface has been investigated. On this basis, a mobile platform was created, which is presented in this arti-cle. This configuration is suitable for moving the platform either autonomously or using a control panel. The role of the technical vision system in providing navigation has been studied. The results of the work highlight innovation and the use of model functionality to create effective autonomous land navigation systems, including coordinates. The mobile platform can be used for transporting goods in warehouses, for working in extreme situations, for environmental monitoring or for educational purposes.