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This paper presents the development of a prototype logistics robot designed to automate warehouse operations through a custom indoor navigation system based on Wi-Fi signal strength and ultrasonic distance sensing. The proposed solution includes a comprehensive integration of hardware and software modules-ranging from localization using ESP8266/ESP32 microcontrollers to simulation in CopeliaSim EDU and real-time control via an industrial-grade OWEN PR200 logic controller. A lithium-titanate battery with an active balancer was used to ensure operational safety and high power availability. The robot was tested under both indoor and outdoor conditions, demonstrating stable maneuvering, robust signal processing in Wi-Fi-saturated environments, and accurate position estimation. The results confirm the feasibility of constructing cost-effective autonomous platforms for logistics using widely available components, with prospects for commercial scalability.

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Development and Implementation of an Autonomous Logistics Robot with Indoor Wi-Fi-Based Navigation and Ultrasonic Sensing

  • 会议论文

  • 发表日期：

    2026年

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

摘要

This paper presents the development of a prototype logistics robot designed to automate warehouse operations through a custom indoor navigation system based on Wi-Fi signal strength and ultrasonic distance sensing. The proposed solution includes a comprehensive integration of hardware and software modules-ranging from localization using ESP8266/ESP32 microcontrollers to simulation in CopeliaSim EDU and real-time control via an industrial-grade OWEN PR200 logic controller. A lithium-titanate battery with an active balancer was used to ensure operational safety and high power availability. The robot was tested under both indoor and outdoor conditions, demonstrating stable maneuvering, robust signal processing in Wi-Fi-saturated environments, and accurate position estimation. The results confirm the feasibility of constructing cost-effective autonomous platforms for logistics using widely available components, with prospects for commercial scalability.