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Summary

This study introduces a new human-robot interface for climbing robots used in petrochemical tank inspections. The system adapts robot autonomy based on operator skill, enhancing safety and efficiency in weld bead inspection.

Keywords:
Myo armbandfuzzy controllerhuman–robot interfacesliding autonomy

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Area of Science:

  • Robotics
  • Human-Robot Interaction
  • Industrial Automation

Background:

  • Petrochemical storage tanks require regular inspection of weld beads.
  • Current inspection methods may be labor-intensive and pose safety risks.
  • Automated solutions are needed to improve efficiency and accuracy.

Purpose of the Study:

  • To develop a novel human-robot interface for a climbing robot.
  • To adapt robot autonomy based on operator experience and skill.
  • To enhance the safety and effectiveness of weld bead inspection in storage tanks.

Main Methods:

  • A human-robot interface combining an industrial joystick and an electromyographic (EMG) armband.
  • A Fuzzy controller integrating operator inputs (joystick, EMG armband) and robot state (weld bead position, arm rotation).
  • Implementation of sliding autonomy with four distinct levels: Manual, Shared, Supervisory, and Autonomous.

Main Results:

  • The Fuzzy controller successfully adapts robot autonomy based on operator skill and real-time inputs.
  • Sliding autonomy allows for dynamic adjustment of control levels during operation.
  • Experiments in simulated environments demonstrated the effectiveness of different autonomy modes.

Conclusions:

  • The proposed human-robot interface enables adaptive robot autonomy for climbing robots.
  • The system can recognize operator skill and correct operational mistakes.
  • This approach offers a promising solution for safer and more efficient weld bead inspection in the petrochemical industry.