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ROS-Based Autonomous Navigation Robot Platform with Stepping Motor.

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  • 1Division of Electronics and Electrical Engineering, Dongguk University, Seoul 04620, Republic of Korea.

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Summary

This study introduces Owlbot, an autonomous navigation robot using a stepping motor and a novel polynomial control algorithm. Owlbot accurately maps unknown environments and navigates autonomously with minimal movement error.

Keywords:
autonomous navigationindoor navigation robotrobot operating systemsimultaneous localisation and mappingstepping motor

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Area of Science:

  • Robotics
  • Control Systems
  • Artificial Intelligence

Background:

  • Indoor navigation robots commonly use direct current motors and complex control algorithms requiring sensor cooperation.
  • Existing systems often face challenges with error correction and precise motor control.

Purpose of the Study:

  • To design an autonomous navigation robot platform, Owlbot, utilizing a stepping motor for enhanced precision.
  • To develop a novel stepping motor control algorithm using polynomial equations for accurate motor operation.
  • To achieve simultaneous localization, mapping, and autonomous navigation in unknown environments.

Main Methods:

  • Designed the Owlbot robot platform with a stepping motor as the mobile actuator.
  • Developed a polynomial equation-based control algorithm to convert speed instructions into precise motor control signals.
  • Integrated 2D LiDAR and an inertial measurement unit (IMU) for sensor data.
  • Implemented a particle filtering mapping algorithm for simultaneous localization and mapping (SLAM).

Main Results:

  • Owlbot successfully mapped an unknown environment.
  • The robot demonstrated autonomous navigation capabilities using the developed control algorithm.
  • Experimental results showed a maximum movement error of less than 0.015 m, indicating high accuracy.

Conclusions:

  • The proposed stepping motor control algorithm and Owlbot platform enable accurate and efficient indoor autonomous navigation.
  • The integration of polynomial control with SLAM techniques offers a robust solution for mobile robot navigation.
  • Owlbot presents a viable alternative to traditional DC motor-based navigation systems, offering improved precision.