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GPS surveying methods vary in application, accuracy, and data collection techniques, catering to diverse surveying and mapping needs. Static GPS, kinematic GPS, and real-time kinematic (RTK) surveying are widely used. Each technique offers distinct advantages.Static GPS involves placing one receiver at a known reference point and another at the target point. It collects exact positional data by observing multiple satellite ranges over an extended period, achieving centimeter-level accuracy for...
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A Performance Comparison between Different Industrial Real-Time Indoor Localization Systems for Mobile Platforms.

Paulo M Rebelo1,2, José Lima1,3, Salviano Pinto Soares2,4,5

  • 1Institute for Systems and Computer Engineering, Technology and Science (INESC TEC), 4200-465 Porto, Portugal.

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Summary
This summary is machine-generated.

Accurate indoor localization is crucial for autonomous mobile robots (AMR) to optimize factory floor operations. The Marvelmind ultrasound system demonstrated superior performance in real-time trajectory management for AMRs and other industrial vehicles.

Keywords:
autonomous mobile robotsindoor localization systemslocalization technologiessensors

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Area of Science:

  • Industrial robotics and automation
  • Localization and navigation systems
  • Manufacturing process optimization

Background:

  • Autonomous mobile robots (AMR) offer flexibility but require precise localization for efficient factory floor integration.
  • Optimizing processes and minimizing time necessitate real-time trajectory management to avoid movement conflicts.
  • Congestion and environmental factors significantly impact AMR performance and safety.

Purpose of the Study:

  • To present and compare common indoor localization techniques (time of flight, angle of arrival, time difference of arrival).
  • To evaluate and compare industry-standard indoor localization methods (ultra-wideband, ultrasound).
  • To identify and compare three industrial indoor localization solutions (Qorvo, Eliko Kio, Marvelmind) on a mobile platform.

Main Methods:

  • Comparative analysis of time of flight, angle of arrival, and time difference of arrival localization techniques.
  • Evaluation of ultra-wideband and ultrasound localization methods in industrial settings.
  • Implementation and performance testing of Qorvo, Eliko Kio, and Marvelmind systems on an industrial mobile platform.

Main Results:

  • The Marvelmind system, utilizing ultrasound technology, emerged as the most effective solution among the tested industrial localization systems.
  • Comparison highlighted the strengths and weaknesses of different localization techniques and methods for industrial applications.
  • The study provides practical insights into selecting appropriate localization solutions for AMRs, forklifts, and logistic trains.

Conclusions:

  • The Marvelmind ultrasound system offers superior performance for real-time localization in industrial environments.
  • Accurate localization is essential for optimizing AMR trajectories and preventing operational deadlocks.
  • The findings support the integration of advanced localization solutions to enhance industrial automation efficiency and safety.