This paper presents the development and evaluation of the “RoboLogist” mobile transport platform designed to improve efficiency in warehouse logistics. The platform addresses the pressing need for automation in industrial logistics by reducing physical strain on personnel, minimizing cargo delivery times, and increasing operational accuracy and safety. Unlike most existing robotic platforms, the “RoboLogist” is capable of operating both indoors and outdoors, with a load capacity of up to 120 kg and the ability to climb ramps with inclinations of up to 20°. The design features a frame structure with tank-style kinematics and IP67-rated protection, making it suitable for various environmental conditions. A simulation environment using CopeliaSim EDU was used to test sensor configurations and navigation algorithms. Structural strength was validated through finite element modeling under both static and fatigue loading scenarios. Navigation is achieved via radio beacons, ultrasonic sensors, and accelerometers, with real-time safety monitoring. The project culminated in the fabrication of a fully functional prototype, developed under the framework of the Russian “Student Startup” initiative. The results demonstrate the viability of the “RoboLogist” as a competitive solution for automated warehouse logistics in diverse industrial settings.

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“RoboLogist” Mobile Transport Platform for Enhancing Warehouse Logistics Efficiency

  • A. I. Izyumov,
  • A. A. Atrokhov,
  • A. V. Nazarov,
  • E. V. Bivzyuk

摘要

This paper presents the development and evaluation of the “RoboLogist” mobile transport platform designed to improve efficiency in warehouse logistics. The platform addresses the pressing need for automation in industrial logistics by reducing physical strain on personnel, minimizing cargo delivery times, and increasing operational accuracy and safety. Unlike most existing robotic platforms, the “RoboLogist” is capable of operating both indoors and outdoors, with a load capacity of up to 120 kg and the ability to climb ramps with inclinations of up to 20°. The design features a frame structure with tank-style kinematics and IP67-rated protection, making it suitable for various environmental conditions. A simulation environment using CopeliaSim EDU was used to test sensor configurations and navigation algorithms. Structural strength was validated through finite element modeling under both static and fatigue loading scenarios. Navigation is achieved via radio beacons, ultrasonic sensors, and accelerometers, with real-time safety monitoring. The project culminated in the fabrication of a fully functional prototype, developed under the framework of the Russian “Student Startup” initiative. The results demonstrate the viability of the “RoboLogist” as a competitive solution for automated warehouse logistics in diverse industrial settings.