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Low-cost, open-access sensorized aerial robot multirotor testing operational platform.

Mario Aguilera-Ruiz1, Alejandro Galaviz-Mosqueda1, Benjamín Jaramillo-Ávila1

  • 1Monterrey Unit, Centro de Investigacion Cientifica y de Educacion Superior de Ensenada, Apodaca, N.L., C.P. 66629, Mexico.

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Summary
This summary is machine-generated.

Researchers developed ARMTOP, a low-cost, open-access platform for testing aerial robotic systems (ARS). This sensorized system enables precise angle measurements and real-time data visualization for algorithm validation in smart cities and Industry 4.0 applications.

Keywords:
Aerial robotMulti-rotorOpen-source

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Area of Science:

  • Robotics
  • Control Systems
  • Sensor Technology

Background:

  • Aerial robotic systems (ARS) are crucial for smart cities and Industry 4.0.
  • Validating ARS algorithm performance in real-world conditions is essential but challenging.
  • Isolating specific effects on algorithm performance during real-world testing is difficult.

Purpose of the Study:

  • Introduce a novel testing platform for aerial robotic systems.
  • Provide a low-cost, open-access solution for algorithm validation.
  • Facilitate precise measurement and data analysis for ARS.

Main Methods:

  • Developed the Aerial Robot Multirotor Testing Operational Platform (ARMTOP).
  • Integrated a fixed-frame gyroscope for precise pitch, yaw, and roll angle measurement.
  • Incorporated a Wi-Fi module for command transmission and IMU data reception.
  • Designed a Graphical User Interface (GUI) for real-time data visualization and offline analysis.

Main Results:

  • ARMTOP enables precise measurement of pitch, yaw, and roll angles.
  • Real-time visualization and data export capabilities for offline analysis are provided.
  • The platform utilizes open-access frameworks for enhanced replicability.

Conclusions:

  • ARMTOP offers a valuable, accessible tool for validating ARS algorithms.
  • The platform's open-access nature promotes further development and customization.
  • ARMTOP addresses the challenges of real-world testing for aerial robotic systems.